This work is supported by DFG WE 5469/3-1.

The experimental procedure in this protocol was performed following the recommendations of the EU directive 2010/63 for the Welfare of Experimental Animals and in accordance with the Animal Welfare Act issued by the Federal Government of Germany and was approved by the local authorities. Since the research only required behavioral training, no animals were euthanized, and all were kept in the husbandry after the research was conducted. The research was conducted using ten male Lister hooded rats (4 months of age at the start of behavioral training).
1. Animal housing, husbandry, and handling
<ol>
	<li>House rats together with up to five littermates in a standard cage with suitable bedding material, according to your animal welfare committee&#39;s recommendations.</li>
	<li>Keep the rats in a ventilated room with a controlled temperature of 20 &#177; 2 &#176;C and relative humidity of a maximum of 50% with a 12:12 h light/dark cycle, or in accordance with your animal welfare committee&#8217;s recommendations. Restrict access to food (12 g chow a day per rat, see Table of Materials) and provide unrestricted access to water.</li>
	<li>Mark the animals&#39; tails using a permanent non-toxic ink marker.</li>
	<li>Before starting the behavioral experiment, handle the rats for at least a week until they are accustomed to being handled by experimenters, and introduce the rats to the rewarding food pellets to reduce food neophobia.</li>
</ol>
2. Preparation of the hardware and control software
<ol>
	<li>Open the freely available Integrated Development Environment (IDE) Software (see Table of Materials). Click on File &#62; Open and click on the script for hardware control (Supplementary File 1).</li>
	<li>Plug in the microcontroller USB to the computer. Check whether the automatically chosen Board and Processor information correspond to the connected microcontroller board by clicking on Tools in the top left half of the screen. Select the corresponding Board and Processor information, and click on Port to select the available port.</li>
	<li>On the top left half of the screen, click on Sketch &#62; Include Library &#62; Manage Libraries. On the newly opened Library Manager window, type the term &#34;Adafruit Motor Shield V2&#34; into the search bar and click on the Install button on the corresponding library. Repeat the same process for the search term &#34;Adafruit Neopixel&#34;.</li>
	<li>On the top left half of the screen, click on Verify (the button with a checkmark) to ensure there are no mistakes in the script. Click on Upload (the button with an arrow to the right) to upload the script to the microcontroller board.</li>
</ol>
3. Preparation of the experiment control software
<ol>
	<li>Ensure that all four scripts and functions for experiment control are located in the same folder.
	<ol>
		<li>Open the programming platform, click on the HOME toolbar tab on the top half of the screen, and click on Set Path. Click on Add Folder and select the folder containing all the experiment control scripts.</li>
		<li>Click on Save and close the Set Path window. Click on Open on the HOME toolbar tab on the top half of the screen and open the following scripts and functions: User (Supplementary File 2), Staircase (Supplementary File 3), and DataProc (Supplementary File 4).</li>
	</ol>
	</li>
	<li>Follow the instructions for downloading and installing the Psychtoolbox software to enable the ESC button functionality used by the toolbox (see Table of Materials for the access link).</li>
</ol>
4. Configuration of parameters used in the 5-CSRTT toolbox
<ol>
	<li>Prepare the toolbox for habituation. 
	NOTE: Figure 2 represents the 5-CSRTT apparatus used for the current study.
	<ol>
		<li>Select the opened User script. Ensure that the habituation variable on line 7 is set to &#39;true&#39;. Write a number in minutes (e.g. &#39;30&#39; for 30 min) on line 8 to set a time limit for the habituation. On line 9, write a number between 0.01 and 1 (full brightness) to choose a brightness level for the stimulus light. 
		NOTE: The brightness level used in this project is set to 0.2.</li>
		<li>Conduct the behavioral experiment (step 5).</li>
	</ol>
	</li>
	<li>Prepare the toolbox for the experiment session.
	<ol>
		<li>Select the opened User script. Ensure that the variable on line 7 is defined as &#39;false&#39;.</li>
		<li>On line 12, type in the directory path where the experiment data will be automatically saved (e.g., &#39;C:\Users\trainer\Desktop\5CSRTT&#39;). Ensure that a directory with this exact name exists.</li>
		<li>Type in the subject identification on line 13 (e.g. &#39;red1&#39;).</li>
		<li>Ensure that the variable on line 14 is defined as &#39;true&#39;, so that the data generated is automatically saved in the directory path.</li>
		<li>Ensure that the variable on line 15 is defined as &#39;true&#39; and type in a number on lines 16 and 17 to set a trial and time limit (in min), respectively, after which the program will automatically stop.</li>
		<li>Configure the parameters for a standard 5-CSRTT paradigm.
		<ol>
			<li>Check whether the variable on line 32 is set to &#39;true&#39; for a free pellet delivery before the first trial. Define the variable on line 33 as &#39;true&#39; to ensure a magazine entry before each trial starts. Check whether the variable on line 34 is set as &#39;defined&#39; and type in a number on line 35 to specify the length of the ITI in seconds.</li>
			<li>Ensure that the variable defined on line 37 is set to &#39;true&#39; so that trials with premature answers won&#39;t influence the trial limit of the session. Type a numerical value on line 38 that will define the limited hold (LH) length in seconds.</li>
			<li>Ensure that the variable on line 39 is set to &#39;none&#39; and the variable on line 40 is defined as &#39;false&#39;. Type a number on line 41 to define the TO length in seconds and ensure that the variable on line 42 is set to &#39;false&#39;.</li>
			<li>Type in a numerical value on line 45 that corresponds to the number of apertures that can be illuminated (e.g., &#39;5&#39;). Ensure that the variable on line 46 is defined as &#39;pseudorandom&#39; or &#39;random&#39; and type in a number on line 47, setting the StD length in seconds. Check whether the variable on line 48 is defined as &#39;single&#39; and the numerical value on line 49 is &#39;1&#39;. On line 50, type in a number to define the brightness of the target stimulus.</li>
			<li>Check whether the variables on lines 64 and 65 are defined as &#39;binary&#39; and &#39;non-dependent&#39;, respectively. Type a numerical value on line 71 corresponding to the number of food pellets to be released following a correct nose-poke.</li>
			<li>Conduct the behavioral experiment (step 5).</li>
		</ol>
		</li>
		<li>Configure the parameters for a non-standard 5-CSRTT paradigm. 
		NOTE: All the steps described in this subchapter are optional.
		<ol>
			<li>If an automatic performance check is desired for using the automated staircase training procedure, ensure that the variable on line 18 is defined as &#39;true&#39; and type in a numerical value on line 20 defining the frequency of the performance check. Type a number on line 21 to define the minimum number of trials to be completed during the current session before calculating the subject&#39;s performance. Ensure that the variable on line 21 is defined as &#39;all&#39; so all trials of the current session are included in the performance check.</li>
			<li>Ensure that the variable on line 22 is set to &#39;true&#39; so that the program will update the parameters of the current session to match a previously completed session. On line 23, type in &#39;latest&#39; to establish that the last session will be uploaded. 
			NOTE: The program will update the parameters based on specifications in the &#34;Staircase&#34; function, jumping to the previously completed level. A specific dataset to be uploaded can also be chosen by typing in the exact path to the data file with &#34;.mat&#34; ending.</li>
			<li>If the automated behavioral training is desired, ensure that the variable on line 26 is set to &#39;true&#39;. Type in a numerical value on lines 27 and 28 to define the training level to start with and the total number of levels available, respectively. If a division of cohorts is desirable, type in a name (e.g., &#39;group1&#39;) on line 29 that specifies the group. 
			NOTE: Each group can use its own set of training levels and criteria for level updates. The parameters for each group are defined in the &#34;Staircase&#34; function (step 4.2.8.).</li>
			<li>On line 34, type in &#39;random&#39; if a randomized ITI duration is desired. Type in a numerical interval (e.g., &#39;[0,2]&#39;) to define the interval containing a randomized number that will be added to the fixed ITI duration.</li>
			<li>To ensure that trials with premature responses influence the session&#39;s trial limit, type in &#39;false&#39; on line 37.</li>
			<li>To define a time window during which additional nose-pokes will be counted as perseverative answers, type in a numerical value on line 39. Type in &#39;true&#39; on line 40 so that premature answers evoke a timeout.</li>
			<li>To define different groupings of the target apertures, type in &#39;neighbour&#39;, &#39;shifted&#39; or &#39;all&#39; on line 48. Type in a numerical value on line 49, defining the total number of target apertures. If dimmed stimuli are desired, type in a numerical value on lines 51 and 52, defining the total number of dimmed apertures and its brightness, respectively.</li>
			<li>If the emission of a short tone (Tone C4, 262 Hz (Scientific Pitch Notation)) before stimulus presentation is desired, ensure that the variable on line 55 is set to &#39;true&#39;. Type in numerical values on lines 56, 57, and 58 to define the time window (in milliseconds) between the speaker&#39;s tone and stimulus presentation, the tone&#39;s duration (in milliseconds), and the tone&#39;s volume (numbers between 0 (no tone) and 1 (full volume) are allowed).</li>
			<li>If the emission of a short tone (Tone C6, 1047 Hz) after a successful nose-poke is desired, ensure that the variable on line 59 is set to &#39;true&#39;. Type in a numerical value on lines 60 and 61 that define the tone&#39;s duration (in milliseconds) and the tone&#39;s volume (numbers between 0 (no tone) and 1 (full volume) are allowed).</li>
			<li>If responses in dimmed lit apertures are to be rewarded, ensure that the variable on line 64 is set to &#39;non-binary&#39;. Type a numerical value on line 73 to define the number of food pellets delivered for nose-pokes in dimmed lit apertures.</li>
			<li>If using more than one pellet dispenser, type in the corresponding motor number on lines 70 and 72 for nose-pokes in target apertures and dimmed lit apertures. 
			NOTE: The motor number can be either 1 or 2. The corresponding motor shield&#39;s screw terminals M3 and M4 are defined in the script for hardware control.</li>
			<li>If grading the reward based on reaction time is desired, ensure that the variable on line 65 is set to &#39;dependent&#39;.
			<ol>
				<li>Define the dependence of nose-pokes in target apertures by typing in numerical values on line 67 that will divide the reaction time (in seconds), motor number, and the number of food pellets to be delivered into different categories, such that a specific reaction time interval corresponds to a chosen motor number and number of pellets.</li>
				<li>Type in numbers on line 68 to define different categories for reaction time (in seconds), motor number, and number of food pellets to be delivered for nose-pokes in dimmed lit apertures.</li>
			</ol>
			</li>
		</ol>
		</li>
		<li>Configure the Staircase function by following the steps below. 
		NOTE: This step is optional.
		<ol>
			<li>Select the opened Staircase function. On line 4, type the name of the first group (e.g. &#39;group1&#39;). If applicable, type the name of the second group (e.g. &#39;group2&#39;) on line 77.</li>
			<li>To change the parameters for the second training level for the first group, type one of the parameters calculated in the performance check on line 17 (e.g., PerformanceCheck.NumCorrect &#62;= 30 if the criteria are answering 30 nose-pokes correctly). 
			NOTE: Do not change the parameter &#34;Config_trigger == 2&#34; when using the automatic loading of the previous session (step 4.2.7.2.).</li>
			<li>On line 19, type a variable that you wish to update and a numerical value if applicable (e.g., &#39;Config.LED.StimDuration = 30&#39; to set the StD length to 30 s). 
			NOTE: The number of parameters to be changed and their new value can be freely chosen. The only requirement is that the parameter to be updated needs to be typed in after the variable &#39;UpdateTrigger = 1&#39; in each level that the update is desired.</li>
		</ol>
		</li>
		<li>Configure the &#34;DataProc&#34; function.
		<ol>
			<li>Select the opened DataProc function. If a graph with the session&#39;s overview needs to be plotted and saved automatically, type in the commands for the desired plot from line 83 onward. 
			&#8203;NOTE: The current commands on line 83 onward plot an overview of the session&#39;s outcome and some necessary control measures such as the total number of premature answers or the number of food panel pushes during an ITI.</li>
		</ol>
		</li>
	</ol>
	</li>
</ol>
5. Behavioral experiment
<ol>
	<li>Transport the rat cage from the vivarium to the experimental room at least 30 min before the habituation or experiment session to familiarise the animals to the testing room.</li>
	<li>For the habituation session, prepare the operant chamber by placing two reward food pellets in each of the apertures and five food pellets in the magazine door. Configure the parameters for the session by following steps 2-4.1. 
	NOTE: The operant chamber used for this protocol was a modified Skinner PVC box with dimensions 30 x 30 x 45 cm. 
	NOTE: For the first habituation stage, tape the magazine flap door to remain open. For the second habituation stage, remove the tape on the magazine flap door.</li>
	<li>Select the opened User script. Ensure that the &#39;COM&#39; description on line 75 matches the chosen available port in step 2.2. If it doesn&#39;t match, change the numerical value in the experiment control script (e.g., from &#39;COM3&#39; to &#39;COM4&#39;).</li>
	<li>Gently place the rats in the chamber.</li>
	<li>In the opened User script, click on the EDITOR toolbar tab on the top half of the screen, and then click on the green play button Run. Check whether the program is running correctly by reading the &#34;Command Window&#34; information.</li>
	<li>To stop the experiment at any time, press the escape key ESC on the computer&#39;s keyboard. Wait for a message to appear on the Command Window display. Type in &#34;y&#34; and press the Enter key on the computer&#39;s keyboard to stop the current session and save the acquired data.</li>
	<li>When the habituation or session time or trial limit is reached (step 4.1.1 or 4.2.5, respectively), check the message that appears on the Command Window&#160;display. Type in &#34;y&#34; and press the Enter key on the computer&#39;s keyboard to stop the current session. 
	NOTE: The message will only be shown at the beginning of a new trial and will stop the ongoing session until an answer is typed in (&#34;y&#34; to stop the session or &#34;n&#34; to continue the experiment).</li>
	<li>In the case of a habituation session, check whether the rat consumed all the food pellets. Repeat the habituation stage until all the pellets are consumed before advancing to the next habituation stage or, after the second stage, start the 5-CSRTT training.</li>
	<li>After the session, clean the walls and floor of the operant chamber, e.g., with a 70% ethanol solution and paper towel. Before introducing the next rat, wait for 2-3 min until the ethanol smell dissipates.</li>
	<li>When the experiment day is over, unplug the microcontroller USB from the computer. Optionally, close both scripts for hardware and experiment control.</li>
</ol>

<ol>
	<li>Bari, A., Dalley, J. W., Robbins, T. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+application+of+the+5-choice+serial+reaction+time+task+for+the+assessment+of+visual+attentional+processes+and+impulse+control+in+rats.">The application of the 5-choice serial reaction time task for the assessment of visual attentional processes and impulse control in rats.</a> Nature Protocols. 3 (5), 759-767 (2008).</li><li>Asinof, S. K., Paine, T. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+5-choice+serial+reaction+time+task:+a+task+of+attention+and+impulse+control+for+rodents.">The 5-choice serial reaction time task: a task of attention and impulse control for rodents.</a> Journal of Visualized Experiments: JoVE. (90), e51574 (2014).</li><li>Higgins, G. A., Silenieks, L. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rodent+Test+of+Attention+and+Impulsivity:+The+5-Choice+Serial+Reaction+Time+Task.">Rodent Test of Attention and Impulsivity: The 5-Choice Serial Reaction Time Task.</a> Current Protocols in Pharmacology. 78 (1), 1-34 (2017).</li><li>Humby, T., Wilkinson, L., Dawson, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Assaying+aspects+of+attention+and+impulse+control+in+mice+using+the+5-choice+serial+reaction+time+task.">Assaying aspects of attention and impulse control in mice using the 5-choice serial reaction time task.</a> Current Protocols in Neuroscience. 31 (1), 1-15 (2005).</li><li>Robbins, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+5-choice+serial+reaction+time+task:+behavioural+pharmacology+and+functional+neurochemistry.">The 5-choice serial reaction time task: behavioural pharmacology and functional neurochemistry.</a> Psychopharmacology. 163 (3-4), 362-380 (2002).</li><li>Amitai, N., Markou, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Disruption+of+performance+in+the+five-choice+serial+reaction+time+task+induced+by+administration+of+N-methyl-D-aspartate+receptor+antagonists:+relevance+to+cognitive+dysfunction+in+schizophrenia.">Disruption of performance in the five-choice serial reaction time task induced by administration of N-methyl-D-aspartate receptor antagonists: relevance to cognitive dysfunction in schizophrenia.</a> Biological Psychiatry. 68 (1), 5-16 (2010).</li><li>Fizet, J., Cassel, J. C., Kelche, C., Meunier, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+review+of+the+5-Choice+Serial+Reaction+Time+(5-CSRT)+task+in+different+vertebrate+models.">A review of the 5-Choice Serial Reaction Time (5-CSRT) task in different vertebrate models.</a> Neuroscience &amp; Biobehavioral Reviews. 71, 135-153 (2016).</li><li>Spinelli, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Performance+of+the+marmoset+monkey+on+computerized+tasks+of+attention+and+working+memory.">Performance of the marmoset monkey on computerized tasks of attention and working memory.</a> Cognitive Brain Research. 19 (2), 123-137 (2004).</li><li>Parker, M. O., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Development+and+automation+of+a+test+of+impulse+control+in+zebrafish.">Development and automation of a test of impulse control in zebrafish.</a> Frontiers in Systems Neuroscience. 7, 65 (2013).</li><li>Birtalan, E., B&#225;nhidi, A., Sanders, J. I., Bal&#225;zsfi, D., Hangya, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Efficient+training+of+mice+on+the+5-choice+serial+reaction+time+task+in+an+automated+rodent+training+system.">Efficient training of mice on the 5-choice serial reaction time task in an automated rodent training system.</a> Scientific Reports. 10 (1), 1-8 (2020).</li><li>Fischer, B., Wegener, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Emphasizing+the+&amp;#34;positive&amp;#34;+in+positive+reinforcement:+using+nonbinary+rewarding+for+training+monkeys+on+cognitive+tasks.">Emphasizing the &amp;#34;positive&amp;#34; in positive reinforcement: using nonbinary rewarding for training monkeys on cognitive tasks.</a> Journal of Neurophysiology. 120 (1), 115-128 (2018).</li></ol>

The authors declare that they have no competing financial interests.

The present protocol aims to develop and test a low-cost and fully customizable alternative to the standard, commercially available 5-choice serial reaction time task apparatus. Usually, commercially available types of apparatus provide a limited set of features as needed to run the standard research 5-CSRTT. Because of this, non-standard modifications in the specific trial design, such as changes to the trial sequence or target stimulus combinations, are usually not possible. In addition, many of the available types of apparatus come with specific, closed software that may not provide access to all behavioral data of the experiment, such as the timing and aperture number of premature and perseverative answers. In contrast, the vital advantage of the toolbox presented here is - besides its low cost - the possibility of implementing many different trial designs and research paradigms. Currently, the toolbox supports the definition of multiple stimulus designs, such as permitting dimmed stimuli and using two pellet delivery systems and reward dependence on reaction time. It also supports the use of a miniature speaker for auditory feedback. However, the primary purpose is to allow for easy modifications of the trial sequence according to the user&#39;s objective, such as introducing dimmed lit apertures and rewarding schedules for decision-making tasks or integrating state-of-the-art positive reinforcement training approaches11. Additionally, all raw data acquired over the session are made available for further analysis. The toolbox provides a Staircase function for automated behavioral training, which is also fully customizable and allows the user to change the criteria for each level update, the number of training levels, and the parameters to be updated. Furthermore, the apparatus itself is highly adaptable, and changes in the trial design and the chamber layout are easily feasible, making it possible to apply the 5-CSRTT paradigm to animal species that need a different research design than what the commercially available types of apparatus offer.
Specific parts of the protocol for the software configuration are critical to ensure a smooth workflow: especially for the first day of the experiment, the preparation of both the hardware and experiment control software (steps 2 and 3) and the configuration of step 5.3 is crucial. Ensuring that the serial port connection between the microcontroller hardware, its software, and the experiment control software is working properly is critical to establishing a fully functioning 5-CSRTT toolbox. At the beginning of each experiment day, it&#39;s advisable to repeat the three steps mentioned above to ensure that the hardware and experiment control scripts are configured correctly.
Finally, the current limitation of the toolbox is its implementation to one exclusive programming platform, which unfortunately compromises its use as a complete open-source toolbox. Nevertheless, in principle, the toolbox should be easily adaptable to other programming languages such as Python since the course of one trial remains unchanged.
In comparison to existing alternative methods, the 5-CSRTT toolbox introduced here allows the implementation of the standard 5-CSRTT paradigm and modifications of it such as defining a set time window for perseverative answers or introducing distracting or reinforcing stimuli like speakers or blinking lights. In addition to being easy to use and highly adaptable, the apparatus is low-cost and can be easily replicated, and it incentivizes research using non-rodent animal models.

The 5-CSRTT is a behavioral test, often used in rodents to study visual attentional processes and impulsivity1,2,3,4,5,6, such as determining the cholinergic system&#39;s role in attention and the influence of norepinephrine reuptake inhibitors on impulsive behaviors7. The standard apparatus allows for observing various control measures such as response accuracy, reaction times, impulsive and compulsive behavior, motor ability, and motivation1,2,3,4,5. It consists of a horizontal array of five LED-equipped apertures, a food magazine on the chamber walls opposing the apertures, and house lights2,5. In a typical task, the house light is illuminated, and the beginning of a session is marked by the illumination of the food magazine, where a free pellet is delivered. The trial course is initiated when the animal nose-pokes the magazine to retrieve the pellet1. After that, the food magazine light is extinguished, and the inter-trial interval (ITI) starts, during which the animal is supposed to direct its attention toward the apertures. Once the ITI elapses, a stimulus illumination is presented in one of the apertures1,2,5. The stimulus is given for a specific length known as the stimulus duration (StD). The animal can respond to the stimulus while it&#39;s being presented or during a limited time window after the StD is over, known as limited hold (LH). To respond, the animal has to nose-poke the target aperture and, if done correctly, a reward is released in the food magazine1,2,5. Otherwise, any incorrect response, as well as any responses before stimulus presentation (anticipatory or premature) or any failure to respond (omission) results in a timeout (TO), during which the house light is turned off for a certain duration1,2,5 (Figure 1). In general, the discriminative stimulus accuracy measures attentional functioning, whereas premature and perseverative responses (repeated responses at the apertures after stimulus presentation) are considered measures of impulsive behavior and compulsivity, respectively1,4,5,6.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/63385/63385fig01.jpg" /> 
Figure 1: Possible trial sequences of a typical 5-CSRTT. Following the Intertrial Interval, the stimulus light is turned on for a specific duration, and then turned off during the Limited Hold interval. The rat can either answer correctly and receive a reward or answer incorrectly and get a timeout during this time. If the rat does not answer in time, its omission results in a timeout. Similarly, if it responds&#160;before the presentation of the light stimulus, its premature response results in a timeout. Another trial starts after the collection of the reward or the end of the timeout period. <a href="https://www.jove.com/files/ftp_upload/63385/63385fig01large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
The 5-CSRTT is widely used due to its flexibility: by changing parameters of the trial design, different subcategories of attention can be investigated. For example, while the animal is supposed to divide its attention across the five different apertures (visuospatial attention), the use of irrelevant stimuli (e.g., auditory stimuli) enables the testing of selective or sustained attention1,2,5,6. For that purpose, the experimental setup can be extended by including speakers, which can be used as distracting or even reinforcing stimuli1,2,5,6. Moreover, the attentional load can be directly modulated by altering the stimulus presentation or randomizing the ITI duration10. The 5-CSRTT is not only used in rodents3,7, but has recently been adapted to test non-human primates1,7,8 and fish7,9, further showcasing its feasibility. A fully customizable 5-CSRTT toolbox allows for easy adaptation of the standard rodent paradigm to other animal models. Moreover, the customization flexibility of the 5-CSRTT toolbox also encourages research using non-standard task designs.
The fully customizable 5-CSRTT toolbox presented here contains an Arduino script for hardware control, programmed in an integrated development environment. It also consists of a Matlab toolbox (version R2019b or younger) for experiment control. The following protocol explains how to configure the 5-CSRTT toolbox with the widely used standard paradigm and shows optional configurations for non-standard paradigms.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>1200 Ohm Resistor</td>
			<td></td>
			<td></td>
			<td>Already available in the lab</td>
		</tr>
		<tr>
			<td>8-bit 10 k&#937; digital potentiometer</td>
			<td>Microchip</td>
			<td>MCP42010-I/P</td>
			<td>From Conrad.de: 1083205</td>
		</tr>
		<tr>
			<td>ARD MEGA2560 KIT Arduino - Mega 2560 R3 Lernset</td>
			<td>JOY-IT</td>
			<td>ARD-Set01</td>
			<td>From Reichelt.de: ARD MEGA2560 KIT</td>
		</tr>
		<tr>
			<td>ARD SHD MOTOR Arduino Shield - Motor</td>
			<td>Adafruit</td>
			<td>1438</td>
			<td>From Reichelt.de: ARD SHD MOTOR</td>
		</tr>
		<tr>
			<td>ARDUINO STACKABLE HEADER KIT - R3</td>
			<td>Sparkfun Electronics</td>
			<td>PRT-11417</td>
			<td>From Antratek.de: PRT-11417</td>
		</tr>
		<tr>
			<td>Chow</td>
			<td>Altromin</td>
			<td>1324 N</td>
			<td>Altromin chow products</td>
		</tr>
		<tr>
			<td>Euro-Geh&#228;use</td>
			<td>Hammond Electronics</td>
			<td>1591EBK</td>
			<td>From Conrad.de: 520691</td>
		</tr>
		<tr>
			<td>Food pellets</td>
			<td>Bio-Serv</td>
			<td>F0021</td>
			<td>From Bio-serv.com: Dustless Precision Pellets Rodent</td>
		</tr>
		<tr>
			<td>Fritzing</td>
			<td>Interaction Design Lab Potsdam</td>
			<td></td>
			<td>Fritzing Software download</td>
		</tr>
		<tr>
			<td>Integrated Development Environment</td>
			<td>Arduino</td>
			<td></td>
			<td>Arduino IDE download (Freely available)</td>
		</tr>
		<tr>
			<td>IR Break Beam Sensor - 3mm LEDs</td>
			<td>Adafruit</td>
			<td>2167</td>
			<td>From Mouser.de: 485-2167</td>
		</tr>
		<tr>
			<td>Laptop or Computer</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>LED white round 5mm 2000mcd 20mA</td>
			<td>TruComponents</td>
			<td>1573731</td>
			<td>From Conrad.de: 1573731</td>
		</tr>
		<tr>
			<td>Microswitch</td>
			<td>Hartmann</td>
			<td>MBB1 01 A 01 C 09 A</td>
			<td>From Conrad.com: 707243</td>
		</tr>
		<tr>
			<td>NeoPixel Stick - 8 WS2812 5050 RGB LEDs</td>
			<td>Adafruit</td>
			<td>1426</td>
			<td>From Reichelt.de: DEBO LED NP8 2</td>
		</tr>
		<tr>
			<td>Passive buzzer Speaker</td>
			<td>Conrad Components</td>
			<td>93038c213a</td>
			<td>From Conrad.de: 1511468</td>
		</tr>
		<tr>
			<td>Pellet release disk</td>
			<td></td>
			<td></td>
			<td>Already available in the lab. Similar products depicted below. Keep in mind that some of these products make use of different (and stronger) motors and infrared sensors. The use of the microswitch (row 7) and the&#160; Arduino Motor Shield (row 3) need to be adapted to fit these new specifications. We recommend 3d printing the disk to work with the provided materials and software. 
			Carbatec universal base plate 
			Open Science Framework Open Feeder 
			Open Ephys 3d Model Food Pellet Dispenser 
			Campden Instruments 45mg pellet dispenser</td>
		</tr>
		<tr>
			<td>Programming platform</td>
			<td>Mathworks</td>
			<td>R2019b or younger</td>
			<td></td>
		</tr>
		<tr>
			<td>Psychtoolbox Software</td>
			<td></td>
			<td>V3</td>
			<td>Psychtoolbox-3 download</td>
		</tr>
		<tr>
			<td>Spur GEAR-MOTOR with DC brush motor</td>
			<td>Micromotors</td>
			<td>B138F.12.208</td>
			<td>Micromotos Series B138F Technical data</td>
		</tr>
	</tbody>
</table>

an open-source, fully customizable 5-choice serial reaction time task toolbox for automated behavioral training of rodents

The 5-choice serial reaction time task (5-CSRTT) is a behavioral test often used to study visuospatial attention and impulsiveness in rodents. The task requires animals to allocate attention to a horizontal array of five small apertures equipped with light sources and, within a limited time window, nose-poke one illuminated target aperture to get a food reward at the food magazine located in the opposite wall of the chamber. The task considers behavioral control measures such as response accuracy and reaction times and allows to infer selective attention and impulsivity. Task difficulty can be controlled by modifying the stimulus duration and task design in general. Commercially available apparatus usually consists of an experimental chamber and particular software to specify task parameters, but due to fixed hard- and software, they pose many limitations on changes in the general experimental design and specific task requirements and the related data output. This article explains a fully customizable alternative based on an easy-to-use single-board microcontroller and standard electrotechnical components, an open-access Arduino script, and a Matlab-toolbox for hardware control and behavioral task specifications, respectively. The toolbox includes an optional staircase procedure, enabling automated behavioral training. The complete hardware setup, which can be installed in customized chambers, and the freely adaptable software encourage non-standardized task and chamber design. The design of the system and the open-source code for hardware control and experimental setup are described.

<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/63385/63385fig02.jpg" /> 
Figure 2: The 5-CSRTT apparatus used for the current study. The apparatus runs on a laptop equipped with the 5-CSRTT toolbox, which provides a script for controlling the microcontroller and all related equipment and multiple scripts for controlling the 5-CSRTT experiment. <a href="https://www.jove.com/files/ftp_upload/63385/63385fig02large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
The fully customizable toolbox is easy to use and based on a single-board microcontroller and standard electrotechnical components. Figure 3 shows a simplified circuit and wiring diagram. The whole aperture consists of 5 LEDs as the light stimuli and five infrared sensors to detect nose pokes. The house light consists of one strip with eight LEDs, and the food magazine is made out of an aperture with a flap door with a micro switch, a motor-driven pellet dispenser, and a strip with eight LEDs for lighting. The circuit also exemplifies connections for optional components such as the passive buzzer speaker for auditory feedback and a digital potentiometer for volume adjustment. For a list of the equipment used in developing this toolbox, please see Table of Materials.
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/63385/63385fig03.jpg" /> 
Figure 3: Simplified circuit of the microcontroller hardware. To be easily and quickly customizable, the microcontroller equipment is connected via a breadboard. From top left to bottom left, clockwise: A microcontroller board is connected to a motor shield and a DC motor (representing the pellet dispenser motor). To the right are the LED strips for both the house and food magazine lights, and in the middle are all five white LEDs for the stimulus light and the five infrared sensor pairs used in the apertures. Below the microcontroller board is a simple microswitch (representing the switch used in the food magazine flap door). Finally, a passive buzzer speaker and a digital potentiometer are depicted in the middle. This image was made using the open-source software Fritzing. <a href="https://www.jove.com/files/ftp_upload/63385/63385fig03large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/63385/63385fig04.jpg" /> 
Figure 4: Linkage and functions of all components of the experiment control scripts and simplified diagram of the &#34;Code&#34; function. (A) The &#34;User&#34; script sends its parameters to the &#34;Code&#34; function, which in turn links directly to the &#34;Staircase&#34; function, allowing it to update any parameter used in the &#34;Code&#34; function while the experiment is ongoing. The &#34;Code&#34; function then sends its results to the &#34;DataProc&#34; function at the end of the session. (B) Before starting an experiment session, the &#34;Code&#34; function first checks whether it is supposed to start the habituation protocol. If not, it sets up the parameters based on the definitions chosen in the &#34;User&#34; script. Before each trial begins, the function then checks whether the ESC key on the keyboard was pressed. If not, it continues with a new trial. Otherwise, it stops the experiment session and passes the gathered data to the DataProc function. This critical check before each trial start allows the program to stop before any chosen time limit is reached. <a href="https://www.jove.com/files/ftp_upload/63385/63385fig04large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Interactions between the different experiment control scripts can be seen in Figure 4A. The &#34;User&#34; script includes all the parameters that define the experiment. There, variables that determine the experiment&#39;s timing, number and brightness of illuminated stimuli, ITI duration, and the like can be freely chosen. The Code function (Supplementary File 5) includes a detailed description of a single trial and all possible outcomes, which is reiterated throughout the experiment, as shown in Figure 4B. Moreover, it consists of a protocol for the habituation of the animal to the apparatus. The Code function also regularly checks the performance of the animal. Furthermore, the Staircase function is optional. The subject&#39;s performance is compared to previously set criteria, and desired parameters are automatically updated if the animal&#39;s performance meets these criteria. The Staircase function may also consider the acquired results from the previous day&#39;s session. While the experiment is running, a performance check at the end of a trial will calculate accuracy, omissions, and the total number of correct responses of the completed trials and compare the outcome with desired criteria for a level update, as specified in the Staircase function. Finally, the DataProc function processes all the gathered data and generates simple graphs for quick analysis. At the end of a session, the toolbox automatically saves all the data into a *.mat file and generates an extra *.xlsx file with the essential information from the experiment.
<img alt="Figure 5" class="xfigimg" src="/files/ftp_upload/63385/63385fig05.jpg" /> 
Figure 5: Example of different stimulus configurations of the 5-CSRTT toolbox. The diagram exemplifies possible combinations of target stimuli in dependence on the chosen configuration. Both the &#34;all&#34; and &#34;single&#34; configurations are used in the standard paradigm (for the habituation and behavioral experiment). The &#34;neighbour&#34; and &#34;shifted&#34; configurations show non-standard stimulus configurations, allowing the use of other numbers of lit stimuli, which may also have a different contrast than the target stimulus. <a href="https://www.jove.com/files/ftp_upload/63385/63385fig05large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Protocol step 4.2.7.7 mentions an optional feature: changing the grouping of target apertures. The standard 5-CSRTT paradigm makes use of one single target stimulus. Here, we exemplify how the toolbox presented allows for modifications of the standard paradigm. Figure 5 displays some possible group combinations out of a total of five apertures concerning the chosen configuration. The &#34;all&#34; configuration lights up all the available apertures so that each aperture is now a target aperture, which can be helpful in the initial training stages. The neighbour configuration makes sure that the (freely chosen) number of target apertures will be neighboring each other. Settings can be specified such that the neighbors will not be identical with the target aperture but be illuminated at lower (or even higher) contrast. The use of apertures with different illumination contrasts allows for testing new paradigms, such as using differently graded rewards for nose-pokes in the high- or low-contrast apertures. Figure 5 shows an example with three target apertures with identical illumination. The single configuration is typically used in the standard 5-CSRTT, where only a single target is illuminated. Finally, the shifted configuration extends the neighbor configuration. It shifts the neighbor stimulus toward the last or first aperture in case the target aperture is at the first or last position, respectively. As in the neighbor configuration, the illumination strength of the neighbors can be freely chosen, being either the same or different from the target aperture. Also, the number of overall lit stimuli can be freely chosen. The toolbox then computes all possible stimuli automatically. However, the parameter &#34;Config.LED.NumHighLED&#34; must be set to &#34;1&#34; for this configuration.
Following the protocol, the training of rats (N = 10) for the 5-CSRTT was performed according to the training stages presented in Table 1.
Table 1: 5-CSRTT training schedule and criteria to move to the next level. (A) The inter-trial interval was kept constant at 5 s in every training level. (B) Stimulus duration for every training level. (C) Limited Hold (LH) time window, the maximum time tolerated between stimulus off and any nose-poke response. (D) The total number of correct responses needed to pass the respective training level. (E) The accuracy percentage is calculated as <img alt="Equation 1" src="/files/ftp_upload/63385/63385eq01.jpg" />. (F) Percentage of omission errors is defined as <img alt="Equation 2" src="/files/ftp_upload/63385/63385eq02.jpg" />. This criterion does not include premature responses. <a href="https://www.jove.com/files/ftp_upload/63385/63385_Table 1.xlsx" target="_blank">Please click here to download this Table.</a>
The performance of the rats was compared to the number of training days (sessions) required to complete each training level given in Table 1. All the animals started at training level 1 with an StD and LH of 60 s each. However, some rats (N = 5) received enhanced habituation training to test some of the additional stimulus options reported earlier, which explains the difference in the number of sessions the individual animals stayed in training level 1. Completion of the level was marked by reaching a total of 30 or more correct responses. StD and LH decreased during the following levels, while the criteria for advancing to the next training level got tougher, increasing the attentional demand of the task1,6.
Table 2 shows the automatically generated *.xlsx spreadsheet of one example rat during one session. The rat started with the configuration specified in training level 5. After four trials, the rat advanced to level 6, considering the trials performed in the current session plus the accuracy achieved in the previous session. How many trials have to be performed at a minimum in the current session to advance to the next training level is specified in the variable &#34;Config.Experiment.MinNumTrials&#34;. In the same session, the rat advanced to training level 7 after completing 66 trials in level 6 and achieving the requirement of &#62; 80% accuracy and &#60; 20% omission. In total, rats were trained for 26 days using the configuration of training levels as provided in Table 1. The number of sessions spent per training level is provided in Figure 6A. The black line shows the average across all subjects, and each colored line displays the data of one rat. All rats reached the eighth level within 14-22 sessions (Figure 6B). Figure 6C shows the mean performance of subjects per training level and across all training days in the 5-CSRTT apparatus. The dashed black line represents the accuracy percentage, and the straight black line represents the omission percentage. Accuracy was calculated as the ratio between the number of correct responses and the total number of responses. Omissions were calculated as the ratio between the number of omissions and the total number of trials (i.e., the sum of correct responses, incorrect responses, and omissions). The gray line indicates the average total number of correct responses across all trials in each level. Figure 6D displays the final accuracy achieved by each subject on the eighth and final training level.
On average, rats spent 5.9 (&#177;1.03 SEM) sessions to complete level 1, between 1.5 (&#177;0.17) and 3.5 (&#177;0.5) sessions to complete level 2 to 6, and 1.7 (&#177;0.16) sessions to complete level 7 before they reached the final level 8. As is evident from Figure 6A, the variance between subjects was most significant in the initial levels (SD = 3.25 in level 1, 1.58 in level 2) and decreased in later levels (0.47 and 0.48 in levels 6 and 7, respectively). In level 4, when the stimulus duration was further reduced, the average number of sessions spent (2.6 &#177; 0.52), and variance&#160;between rats (1.64)&#160;increased, with two rats taking 5 and 6 days to conclude the level.
<img alt="Figure 6" class="xfigimg" src="/files/ftp_upload/63385/63385fig06.jpg" /> 
Figure 6: Results of the behavioral experiment with the 5-CSRTT toolbox. (A) The number of sessions performed at each training level. The black line depicts the average number of sessions of all subjects for each level (mean &#177; SEM), and colored lines represent individual subjects&#39; data. (B) The absolute number of sessions&#160;needed to reach the final level, per subject. (C) Averaged performance measures throughout training (mean &#177; SEM). The dotted black line depicts the accuracy of all subjects across all given responses in all sessions per training level, and the black line shows the corresponding omission percentage. The gray line depicts the average absolute number of correct answers of all subjects at each training level. (D) Accuracy per subject during the eighth and final training level. <a href="https://www.jove.com/files/ftp_upload/63385/63385fig06large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Table 2: Gathered data from one example rat during one training session. Column A displays the trial count over the session regarding the current training level, as shown in column B. Column C displays the ITI duration, and column D displays the trial start time. Columns E to I show the brightness level for the LED stimulus in apertures 1 to 5, respectively. A brightness level of 0 means the stimulus was off, and a brightness level of 0.2 means the stimulus was turned on with 20% of its maximal intensity. Columns J and K show the exact time the stimulus was turned on and off, respectively. Column L displays the outcome of the trial: 0 means &#34;omission&#34;, 1 means &#34;correct response&#34;, 3 means &#34;incorrect response&#34; (nose poke into non-target aperture) and 4 means &#34;premature&#34;. Column M shows which aperture was nose-poked during the trial, while column N depicts the exact time of the nose-poke. Columns O, P, and Q show the time when the pellet dispenser motor was turned on, the corresponding motor number, and the time when the rat opened the pellet dispenser to get its reward, respectively. Column R displays the trial end time. Columns S, T, U, V, and W show the total number of premature responses, timeouts, panel pushes during an ITI, the total number of perseverative answers, and the total runtime of the session in minutes, respectively. <a href="https://www.jove.com/files/ftp_upload/63385/63385_Table 2.xlsx" target="_blank">Please click here to download this Table.</a>
Supplementary File 1: Script for the hardware control of the IDE software (Arduino code). This includes all commands to control the hardware and electrotechnical components of the toolbox. <a href="https://www.jove.com/files/ftp_upload/63385/ArduinoCode.zip" target="_blank">Please click here to download this File.</a>
Supplementary File 2: Script for the function &#34;User&#34; in the experiment control software. This includes all the parameters that define the experiment. <a href="https://www.jove.com/files/ftp_upload/63385/User.zip" target="_blank">Please click here to download this File.</a>
Supplementary File 3: Script for the function &#34;Staircase&#34; in the experiment control software. This monitors the subject&#39;s performance and compares it to the previously set criteria. The desired parameters are automatically updated if the animal&#39;s performance meets these criteria. <a href="https://www.jove.com/files/ftp_upload/63385/Staircase.zip" target="_blank">Please click here to download this File.</a>
Supplementary File 4: Script for the function &#34;DataProc&#34; in the experiment control software. This processes all the gathered data and generates simple graphs for quick analysis. <a href="https://www.jove.com/files/ftp_upload/63385/DataProc.zip" target="_blank">Please click here to download this File.</a>
Supplementary File 5: Script for the &#34;Code&#34; function. This includes a detailed description of a single trial and all the possible outcomes, which is reiterated throughout the experiment. <a href="https://www.jove.com/files/ftp_upload/63385/Code_.zip" target="_blank">Please click here to download this File.</a>

Watch this Scientific Journal Video about An Open-Source, Fully Customizable 5-Choice Serial Reaction Time Task Toolbox for Automated Behavioral Training of Rodents at JoVE.com

An Open-Source, Fully Customizable 5-Choice Serial Reaction Time Task Toolbox for Automated Behavioral Training of Rodents

The present protocol describes the development of an open-source 5-choice serial reaction time task toolbox for rodent animal models, using Arduino and related hardware and a versatile Matlab toolbox, including an optional script for automated behavioral training. The scripts are customizable and facilitate the implementation of different trial-and-test designs.

The 5-choice serial reaction time task (5-CSRTT) is a behavioral test often used to study visuospatial attention and impulsiveness in rodents. The task ...

an-open-source-fully-customizable-5-choice-serial-reaction-time-task

Research

JoVE Journal

Behavior

3.9K Views.  University of Bremen. The present protocol describes the development of an open-source 5-choice serial reaction time task toolbox for rodent animal models, using Arduino and related hardware and a versatile Matlab toolbox, including an optional script for automated behavioral training. The scripts are customizable and facilitate the implementation of different trial-and-test designs.

Video: An Open-Source, Fully Customizable 5-Choice Serial Reaction Time Task Toolbox for Automated Behavioral Training of Rodents

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Rodents have been traditionally used as a standard animal model in laboratory experiments involving a myriad of sensory, cognitive, and motor tasks. Higher cognitive functions that require precise control over sensorimotor responses such as decision-making and attentional modulation, however, are typically assessed in nonhuman primates. Despite the richness of primate behavior that allows multiple variants of these functions to be studied, the rodent model remains an attractive, cost-effective alternative to primate models. Furthermore, the ability to fully automate operant conditioning in rodents adds unique advantages over the labor intensive training of nonhuman primates while studying a broad range of these complex functions.
Here, we introduce a protocol for operantly conditioning rats on performing working memory tasks. During critical epochs of the task, the protocol ensures that the animal's overt movement is minimized by requiring the animal to 'fixate' until a Go cue is delivered, akin to nonhuman primate experimental design. A simple two alternative forced choice task is implemented to demonstrate the performance. We discuss the application of this paradigm to other tasks.

A fully automated protocol for rodent operant conditioning is proposed. The protocol relies on precise temporal control of behavioral events to investigate the extent to which this control influences neural activity underlying sensorimotor integration and cognitive control experiments.

Rodents have been traditionally used as a standard animal model in laboratory experiments involving a myriad of sensory, cognitive, and motor tasks. ...

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents

This protocol describes the 5-choice serial reaction time task, which is an operant based task used to study attention and impulse control in rodents. Test day challenges, modifications to the standard task, can be used to systematically tax the neural systems controlling either attention or impulse control. Importantly, these challenges have consistent effects on behavior across laboratories in intact animals and can reveal either enhancements or deficits in cognitive function that are not apparent when rats are only tested on the standard task. The variety of behavioral measures that are collected can be used to determine if other factors (i.e., sedation, motivation deficits, locomotor impairments) are contributing to changes in performance. The versatility of the 5CSRTT is further enhanced because it is amenable to combination with pharmacological, molecular, and genetic techniques.

This protocol describes the 5-choice serial reaction time task, which is an operant based task used to study attention and impulse control in rodents. Test day challenges, which are modifications of the standard task, increase flexibility of the task and can be combined with other manipulations to more fully characterize behavior.

This protocol describes the 5-choice serial reaction time task, which is an operant based task used to study attention and impulse control in rodents. ...

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

When viewers search for targets in a rapid serial visual presentation (RSVP) stream, if two targets are presented within about 500 msec of each other, the first target may be easy to spot but the second is likely to be missed. This phenomenon of attentional blink (AB) has been widely studied to probe the temporal capacity of attention for detecting visual targets. However, with the typical procedure of AB experiments, it is not possible to examine how the processing of non-target items in RSVP may be affected by attention. This paper describes a novel dual task procedure combined with RSVP to test effects of AB for nontargets at varied stimulus onset asynchronies (SOAs). In an exemplar experiment, a target category was first displayed, followed by a sequence of 8 nouns. If one of the nouns belonged to the target category, participants would respond &#8216;yes&#8217; at the end of the sequence, otherwise participants would respond &#8216;no&#8217;. Two 2-alternative forced choice memory tasks followed the response to determine if participants remembered the words immediately before or after the target, as well as a random word from another part of the sequence. In a second exemplar experiment, the same design was used, except that 1) the memory task was counterbalanced into two groups with SOAs of either 120 or 240 msec and 2) three memory tasks followed the sequence and tested remembrance for nontarget nouns in the sequence that could be anywhere from 3 items prior the target noun position to 3 items following the target noun position. Representative results from a previously published study demonstrate that our procedure can be used to examine divergent effects of attention that not only enhance targets but also suppress nontargets. Here we show results from a representative participant that replicated the previous finding.&#160;

This paper describes a novel dual task procedure combined with Rapid Serial Visual Presentation to look at attentional blink at varied stimulus onset asynchronies. This experimental procedure differed from others in that it tested attentional blink for nontargets.

When viewers search for targets in a rapid serial visual presentation (RSVP) stream, if two targets are presented within about 500 msec of each other, the ...

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Mouse is the preferred model organism for testing drugs designed to increase sociability. We present a method to quantify mouse sociability in which the test mouse is placed in a standardized apparatus and relevant behaviors are assessed in three different sessions (called session I, II, and III).
The apparatus has three compartments (see Figure 1), the left and right compartments contain an inverted cup which can house a mouse (called &#34;stimulus mouse&#34;).
In session I, the test mouse is placed in the cage and its mobility is characterized by the number of transitions made between compartments. In session II, a stimulus mouse is placed under one of the inverted cups and the sociability of the test mouse is quantified by the amounts of time it spends near the cup containing the enclosed stimulus mouse vs. the empty inverted cup. In session III, the inverted cups are removed and both mice interact freely. The sociability of the test mouse in session III is quantified by the number of social approaches it makes toward the stimulus mouse and by the number of times it avoids a social approach by the stimulus mouse.
The automated evaluation of the movie detects the nose of the test mouse, which allows the determination of all described sociability measures in session I and II (in session III, approaches are identified automatically but classified manually). To find the nose, the image of an empty cage is digitally subtracted from each frame of the movie and the resulting image is binarized to identify the mouse pixels. The mouse tail is automatically removed and the two most distant points of the remaining mouse are determined; these are close to nose and base of tail. By analyzing the motion of the mouse and using continuity arguments, the nose is identified.
<img alt="Figure 1" src="/files/ftp_upload/52508/52508fig1.jpg" /> 
Figure 1. Assessment of Sociability During 3 sessions. Session I (top): Acclimation of test mouse to the cage. Session II (middle): Test mouse moving freely in the cage while the stimulus mouse is enclosed in an inverted cup. Session III (bottom): Both test mouse and stimulus mouse are allowed to move freely and interact with each other.

This protocol describes a method to quantify mouse sociability. Mice are videotaped as they move and interact in a special cage. Movie processing allows for the automated quantification of sociability with excellent accuracy and reliability.

Mouse is the preferred model organism for testing drugs designed to increase sociability. We present a method to quantify mouse sociability in which the ...

Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning

Shuttle-box avoidance learning is a well-established method in behavioral neuroscience and experimental setups were traditionally custom-made; the necessary equipment is now available by several commercial companies. This protocol provides a detailed description of a two-way shuttle-box avoidance learning paradigm in rodents (here Mongolian gerbils; Meriones unguiculatus) in combination with site-specific electrical intracortical microstimulation (ICMS) and simultaneous chronical electrophysiological in vivo recordings. The detailed protocol is applicable to study multiple aspects of learning behavior and perception in different rodent species.
Site-specific ICMS of auditory cortical circuits as conditioned stimuli here is used as a tool to test the perceptual relevance of specific afferent, efferent and intracortical connections. Distinct activation patterns can be evoked by using different stimulation electrode arrays for local, layer-dependent ICMS or distant ICMS sites. Utilizing behavioral signal detection analysis it can be determined which stimulation strategy is most effective for eliciting a behaviorally detectable and salient signal. Further, parallel multichannel-recordings using different electrode designs (surface electrodes, depth electrodes, etc.) allow for investigating neuronal observables over the time course of such learning processes. It will be discussed how changes of the behavioral design can increase the cognitive complexity (e.g. detection, discrimination, reversal learning).

Shuttle-box avoidance learning is well-established in behavioral neuroscience. This protocol describes how shuttle-box learning in rodents can be combined with site-specific electrical intracortical microstimulation (ICMS) and simultaneous chronical in vivo recordings as a tool to study multiple aspects of learning and perception.

Shuttle-box avoidance learning is a well-established method in behavioral neuroscience and experimental setups were traditionally custom-made; the ...

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Chronic, unresolved stress is a major risk factor for the development of clinical depression. While many preclinical models of stress-induced depression have been reported, the unpredictable chronic mild stress (UCMS) protocol is an established translationally-relevant model for inducing behavioral symptoms commonly associated with clinical depression, such as anhedonia, altered grooming behavior, and learned helplessness in rodents. The UCMS protocol also induces physiological (e.g., hypercortisolemia, hypertension) and neurological (e.g., anhedonia, learned helplessness) changes that are clinically associated with depression. Importantly, UCMS-induced depressive symptoms can be ameliorated through chronic, but not acute, treatment with common SSRIs. As such, the UCMS protocol offers many advantages over acute stress protocols or protocols that utilize more extreme stressors. Our protocol involves randomized, daily exposures to 7 distinct stressors: damp bedding, removal of bedding, cage tilt, alteration of light/dark cycles, social stresses, shallow water bath, and predator sounds/smells. By subjecting rodents 3-4 hr daily to these mild stressors for 8 weeks, we demonstrate both significant behavioral changes and poor health outcomes to the cardiovascular system. This approach allows for in-depth interrogation of the neurological, behavioral, and physiological alterations associated with chronic stress-induced depression, as well as for testing of new potential therapeutic agents or intervention strategies.

The unpredictable chronic mild stress (UCMS) protocol is a validated method for studying behavioral and physiological changes associated with chronic stress and depressive symptoms. Eight weeks of imposition of the UCMS protocol induces behavioral changes and poor health outcomes in rodents of either gender.

Chronic, unresolved stress is a major risk factor for the development of clinical depression. While many preclinical models of stress-induced depression ...

Feeding Experimentation Device (FED): Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents

Food intake measurements are essential for many research studies. Here, we provide a detailed description of a novel solution for measuring food intake in mice: the Feeding Experimentation Device (FED). FED is an open-source system that was designed to facilitate flexibility in food intake studies. Due to its compact and battery powered design, FED can be placed within standard home cages or other experimental equipment. Food intake measurements can also be synchronized with other equipment in real-time via FED's transistor-transistor logic (TTL) digital output, or in post-acquisition processing as FED timestamps every event with a real-time clock. When in use, a food pellet sits within FED's food well where it is monitored via an infrared beam. When the pellet is removed by the mouse, FED logs the timestamp onto its internal secure digital (SD) card and dispenses another pellet. FED can run for up to 5 days before it is necessary to charge the battery and refill the pellet hopper, minimizing human interference in data collection. Assembly of FED requires minimal engineering background, and off-the-shelf materials and electronics were prioritized in its construction. We also provide scripts for analysis of food intake and meal patterns. Finally, FED is open-source and all design and construction files are online, to facilitate modifications and improvements by other researchers.

Feeding Experimentation Device FED: Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents

Feeding Experimentation Device (FED) is an open-source device for measuring food intake in mice. FED can also synchronize food intake measurements with other techniques via a real-time digital output. Here, we provide a step-by-step tutorial for the construction, validation, and usage of FED.

Food intake measurements are essential for many research studies. Here, we provide a detailed description of a novel solution for measuring food intake in ...

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

This protocol describes a modified serial reaction time (SRT) task used to study implicit motor sequence learning. Unlike the classic SRT task that involves finger-pressing movements while sitting, the modified SRT task requires participants to step with both feet while maintaining a standing posture. This stepping task necessitates whole body actions that impose postural challenges. The foot-stepping task complements the classic SRT task in several ways. The foot-stepping SRT task is a better proxy for the daily activities that require ongoing postural control, and thus may help us better understand sequence learning in real-life situations. In addition, response time serves as an indicator of sequence learning in the classic SRT task, but it is unclear whether response time, reaction time (RT) representing mental process, or movement time (MT) reflecting the movement itself, is a key player in motor sequence learning. The foot-stepping SRT task allows researchers to disentangle response time into RT and MT, which may clarify how motor planning and movement execution are involved in sequence learning. Lastly, postural control and cognition are interactively related, but little is known about how postural control interacts with learning motor sequences. With a motion capture system, the movement of the whole body (e.g., the center of mass (COM)) can be recorded. Such measures allow us to reveal the dynamic processes underlying discrete responses measured by RT and MT, and may aid in elucidating the relationship between postural control and the explicit and implicit processes involved in sequence learning. Details of the experimental set-up, procedure, and data processing are described. The representative data are adopted from one of our previous studies. Results are related to response time, RT, and MT, as well as the relationship between the anticipatory postural response and the explicit processes involved in implicit motor sequence learning.

The &quot;Motor&quot; in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

We introduce the foot-stepping serial reaction time (SRT) task. This modified SRT task, complementing the classic SRT task that involves only finger-pressing movement, better approximates daily sequenced activities and allows researchers to study the dynamic processes underlying discrete response measures and disentangle the explicit process operating in implicit sequence learning.

This protocol describes a modified serial reaction time (SRT) task used to study implicit motor sequence learning. Unlike the classic SRT task that ...

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in  Free Moving Rodents

Many neurological and psychiatric patients demonstrate difficulties and/or deficits in decision making. Rodent models are helpful to produce a deeper understanding of the neurobiological causes underlying the decision-making problems. A cost-benefit based T-maze task is used for measuring decision making in which rodents choose between a high reward arm (HRA) and a low reward arm (LRA). There are two paradigms of the T-maze decision-making task, one in which the cost is a time delay and the other in which it is physical effort. Both paradigms require a tedious and labor-intensive management of experimental animals, multiple doors, pellet reward, and arm choice recordings. In the current work, we invented an apparatus based on traditional T-maze with full automation for pellet delivery, door management and choice recordings. This automated setup can be used for the evaluation of both delay- and effort-based decision making in rodents. With the protocol described here, our lab investigated the decision-making phenotypes of multiple genetically modified mice. In the representative data, we showed that the mice with ablated medial habenular showed aversions of both delay and effort and tended to choose the immediate and effortless reward. This protocol helps to decrease the variability caused by experimenter intervention and to enhance experiment efficiency. In addition, chronic silicon probe or microelectrode recording, fiber-optic imaging and/or manipulation of neural activity can be easily applied during the decision-making task using the setup described here.

This article introduces an automated T-maze apparatus that we invented, and a protocol based on this apparatus for analyzing delay-based decision making and effort-based decision making in free moving rodents.

Many neurological and psychiatric patients demonstrate difficulties and/or deficits in decision making. Rodent models are helpful to produce a deeper ...

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Multiple factors&#8212;such as aging and genes&#8212;are frequently associated with cognitive decline. Genetically modified mouse models of cognitive decline, such as Alzheimer&#39;s disease (AD), have become a promising tool to elucidate the underlying mechanisms and promote the therapeutic advances. An important step is the validation and characterization of expected behavioral abnormality in the models, in the case of AD, cognitive decline. The long-term behavioral investigations of laboratory animals to study the effect of aging demand substantial efforts from researchers. The IntelliCage system is a high-throughput and cost-effective test battery for mice that eliminates the need for daily human handling. Here, we describe how the system is utilized in the long-term phenotyping of a genetic Alzheimer&#39;s disease model, specifically focusing on the cognitive functions. The experiment employs repeated battery of tests that assess spatial learning and executive functions. This cost-effective age-dependent phenotyping allows us to identify the transient and/or permanent effects of genes on various cognitive aspects.

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer&#039;s Disease, Using IntelliCage

This paper describes a protocol for cognitive assessments for genetic models of the Alzheimer&#39;s disease using the IntelliCage system, which is a high throughput automated behavioral monitoring system with operant conditioning.

Multiple factors&#8212;such as aging and genes&#8212;are frequently associated with cognitive decline. Genetically modified mouse models of cognitive ...