3D Printable Device for Automated Operant Conditioning in the Mouse.

3D printing Arduino Raspberry Pi conditioning learning reaction times

Journal

eNeuro
ISSN: 2373-2822
Titre abrégé: eNeuro
Pays: United States
ID NLM: 101647362

Informations de publication

Date de publication:
Historique:
received: 04 12 2019
revised: 21 01 2020
accepted: 31 01 2020
pubmed: 12 4 2020
medline: 22 6 2021
entrez: 12 4 2020
Statut: epublish

Résumé

Operant conditioning (OC) is a classical paradigm and a standard technique used in experimental psychology in which animals learn to perform an action to achieve a reward. By using this paradigm, it is possible to extract learning curves and measure accurately reaction times (RTs). Both these measurements are proxy of cognitive capabilities and can be used to evaluate the effectiveness of therapeutic interventions in mouse models of disease. Here, we describe a fully 3D printable device that is able to perform OC on freely moving mice, while performing real-time tracking of the animal position. We successfully trained six mice, showing stereotyped learning curves that are highly reproducible across mice and reaching >70% of accuracy after 2 d of conditioning. Different products for OC are commercially available, though most of them do not provide customizable features and are relatively expensive. This data demonstrate that this system is a valuable alternative to available state-of-the-art commercial devices, representing a good balance between performance, cost, and versatility in its use.

Identifiants

pubmed: 32276923
pii: ENEURO.0502-19.2020
doi: 10.1523/ENEURO.0502-19.2020
pmc: PMC7218003
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2020 Mazziotti et al.

Références

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Auteurs

Raffaele Mazziotti (R)

Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence 50135, Italy raffaele.mazziotti@in.cnr.it.
Institute of Neuroscience, National Research Council, Pisa 56124, Italy.

Giulia Sagona (G)

Institute of Neuroscience, National Research Council, Pisa 56124, Italy.
Department of Developmental Neuroscience, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Stella Maris Foundation, Pisa 56128, Italy.

Leonardo Lupori (L)

BIO@SNS Laboratory, Scuola Normale Superiore, Pisa 56124, Italy.

Virginia Martini (V)

Institute of Neuroscience, National Research Council, Pisa 56124, Italy.

Tommaso Pizzorusso (T)

Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence 50135, Italy.
Institute of Neuroscience, National Research Council, Pisa 56124, Italy.
BIO@SNS Laboratory, Scuola Normale Superiore, Pisa 56124, Italy.

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