This repository contains extensive tools and scripts for processing and analyzing neurophysiological signals. The primary focus is on various critical aspects of neurophysiological data handling, including spike detection, feature extraction, clustering, and firing rate analysis.

Code and data for the preprint "Smooth Surrogate Models Approve Impossible Firing Patterns." A smooth surrogate of a Hodgkin-Huxley f-I curve silently certifies firing rates the real neuron cannot produce (the Type-II gap and depolarization block); a feasibility screen against the true f-I removes the failure.

Visual tool for elecrophysiologists to inspect and filter units based on their response to stimulus

Reproducible modeling of neural spike trains with analysis of ISI distributions and firing rates.

analyseur is a module for analyzing (potentially) myriad models developed (or involved) in Dr. Benoît Girard’s lab