An open source device for operant licking in rats

We created an easy-to-use device for operant licking experiments and another device that records environmental variables. Both devices use the Raspberry Pi computer to obtain data from multiple input devices (e.g., radio frequency identification tag readers, touch and motion sensors, environmental s...

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Main Authors: Matthew Longley, Ethan L. Willis, Cindy X. Tay, Hao Chen
Format: Article
Language:English
Published: PeerJ Inc. 2017-02-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/2981.pdf
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spelling doaj-e739e3076c8249949bd6c5eaeb58dcef2020-11-24T23:27:08ZengPeerJ Inc.PeerJ2167-83592017-02-015e298110.7717/peerj.2981An open source device for operant licking in ratsMatthew Longley0Ethan L. Willis1Cindy X. Tay2Hao Chen3Undergraduate Program, University of Memphis, Memphis, TN, United StatesMaters’ Program, Department of Bioinformatics, University of Memphis, Memphis, TN, United StatesUndergraduate Program, Duke University, Durham, NC, United StatesDepartment of Pharmacology, University of Tennessee Health Science Center, Memphis, TN, United StatesWe created an easy-to-use device for operant licking experiments and another device that records environmental variables. Both devices use the Raspberry Pi computer to obtain data from multiple input devices (e.g., radio frequency identification tag readers, touch and motion sensors, environmental sensors) and activate output devices (e.g., LED lights, syringe pumps) as needed. Data gathered from these devices are stored locally on the computer but can be automatically transferred to a remote server via a wireless network. We tested the operant device by training rats to obtain either sucrose or water under the control of a fixed ratio, a variable ratio, or a progressive ratio reinforcement schedule. The lick data demonstrated that the device has sufficient precision and time resolution to record the fast licking behavior of rats. Data from the environment monitoring device also showed reliable measurements. By providing the source code and 3D design under an open source license, we believe these examples will stimulate innovation in behavioral studies. The source code can be found at http://github.com/chen42/openbehavior.https://peerj.com/articles/2981.pdfOperant behaviorBehavior testing deviceOpen sourceSingle board computerLicking responseEnvironment variables
collection DOAJ
language English
format Article
sources DOAJ
author Matthew Longley
Ethan L. Willis
Cindy X. Tay
Hao Chen
spellingShingle Matthew Longley
Ethan L. Willis
Cindy X. Tay
Hao Chen
An open source device for operant licking in rats
PeerJ
Operant behavior
Behavior testing device
Open source
Single board computer
Licking response
Environment variables
author_facet Matthew Longley
Ethan L. Willis
Cindy X. Tay
Hao Chen
author_sort Matthew Longley
title An open source device for operant licking in rats
title_short An open source device for operant licking in rats
title_full An open source device for operant licking in rats
title_fullStr An open source device for operant licking in rats
title_full_unstemmed An open source device for operant licking in rats
title_sort open source device for operant licking in rats
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2017-02-01
description We created an easy-to-use device for operant licking experiments and another device that records environmental variables. Both devices use the Raspberry Pi computer to obtain data from multiple input devices (e.g., radio frequency identification tag readers, touch and motion sensors, environmental sensors) and activate output devices (e.g., LED lights, syringe pumps) as needed. Data gathered from these devices are stored locally on the computer but can be automatically transferred to a remote server via a wireless network. We tested the operant device by training rats to obtain either sucrose or water under the control of a fixed ratio, a variable ratio, or a progressive ratio reinforcement schedule. The lick data demonstrated that the device has sufficient precision and time resolution to record the fast licking behavior of rats. Data from the environment monitoring device also showed reliable measurements. By providing the source code and 3D design under an open source license, we believe these examples will stimulate innovation in behavioral studies. The source code can be found at http://github.com/chen42/openbehavior.
topic Operant behavior
Behavior testing device
Open source
Single board computer
Licking response
Environment variables
url https://peerj.com/articles/2981.pdf
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