Open AccessA Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
Author(s) -
Gerard Joey Broussard,
Mikhail Kislin,
Caroline Jung,
Samuel S.H. Wang
Publication year - 2022
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/63205
Subject(s) - optogenetics , climbing fiber , computer science , associative learning , eyeblink conditioning , neuroscience , sensory system , associative property , cerebellum , purkinje cell , classical conditioning , artificial intelligence , conditioning , psychology , statistics , mathematics , pure mathematics
Climbing fiber inputs to Purkinje cells provide instructive signals critical for cerebellum-dependent associative learning. Studying these signals in head-fixed mice facilitates the use of imaging, electrophysiological, and optogenetic methods. Here, a low-cost behavioral platform (~$1000) was developed that allows tracking of associative learning in head-fixed mice that locomote freely on a running wheel. The platform incorporates two common associative learning paradigms: eyeblink conditioning and delayed tactile startle conditioning. Behavior is tracked using a camera and the wheel movement by a detector. We describe the components and setup and provide a detailed protocol for training and data analysis. This platform allows the incorporation of optogenetic stimulation and fluorescence imaging. The design allows a single host computer to control multiple platforms for training multiple animals simultaneously.