Tracking Informative Multivariate Brain Rhythms Efficiently
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Updated
Apr 15, 2024 - Jupyter Notebook
Tracking Informative Multivariate Brain Rhythms Efficiently
This is a guide to the code and data for the paper Mondragón-González, S. L., Schreiweis C, C., & Burguière E, E. (2024). Closed-loop recruitment of striatal parvalbumin interneurons prevents compulsive-like grooming behaviours. Nature Neuroscience
TriFilterNet processes electrophysiological recordings to identify pre-grooming events using triangular filters and a minimal neural network. It reduces the feature set and classifies behavioral states based on decorrelated coefficients.
This repository contains basic local field potential analysis scripts and functions for the paper 'Closed-loop recruitment of striatal interneurons prevents compulsive-like grooming behaviours'
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