Framework for Information Theoretical analysis of Electrophysiological data and Statistics
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Updated
Oct 14, 2024 - Python
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
A Python package for physyological's signals processing
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
This project creates an easy-to-use dashboard that allow researchers to load, pre-process and plot initial EAG data from .ASC files.
This is a repository containing a script for matching neuronal recordings together as coming from the same putative unit or not
Neural circuit parameter inference using electrophysiological data
Example on how to read patch clamp recordings in WaveMetrics IGOR *.ibw files.
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