Description:	This dataset includes raw wide-field GCaMP6s image stacks of dorsal cortical activity in mice while they are being trained in 1) A closed-loop neurofeedback task (CLNF) and 2) A closed-loop movement feedback task (CLMF). Data for CLMF experiments are accompanied by synchronized behavior recordings of the whole body of the mouse. Most experiments were performed toward the end of the mouse light cycle(5 PM - 8 PM). CLNF cortical image stacks were collected using Raspberry Pi camera v1 while CLMF cortical image stacks were recorded using a pair of front-to-front video lenses coupled to a CCD camera (Pantera Dalsa). Calcium indicators were excited with blue-light-emitting diodes (470 nm) with bandpass filters (467–499 nm). Emission fluorescence was filtered using a 510–550 nm bandpass filter. The recorded behavior scene was illuminated with infrared light. This is the data repository for titled publication "Real-Time Closed-Loop Feedback System For Mouse Mesoscale Cortical Signal And Movement Control: CLoPy".
Authors:	Kumar Pankaj, Gupta; University of British Columbia Murphy, Timothy H.; University of British Columbia
Keywords:	real-time closed-loop neurofeedback movement feedback widefield calcium imaging GCAMP mouse behavior behavior neuroscience cortical activity behavior learning
Field of Research:	Biological sciences > Neurosciences, biological and chemical aspects > Behavioural neuroscience of learning and memory
Publication Date:	2024-11-01
Publisher:	Federated Research Data Repository / dépôt fédéré de données de recherche
URI:	https://doi.org/10.20383/102.0400
Appears in Collections:	UBC Brain Circuits