Robust Offline Spike Sorter
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Updated
Oct 2, 2024 - Python
Robust Offline Spike Sorter
CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.
🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.
a graphical tool for generating hybrid ground-truth spiking data for evaluating spike sorting performance
Electrophysiology analysis in ventral midbrain-striatal-cortical organoids (MISCOs) pre- and post- optogenetic stimulation.
Code for the paper "Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders"
PASER: Processing and Analysis Schemes for Extracellular Recordings
Contains all the scripts and Jupyter notebooks for electrophysiology data analysis in the Neurotechnology Lab, ETH Zurich
Repository for Modelling of an in vitro Neuromodulatory Co-culture System
Identifying Network State from Extracellular Recordings during Wakefulness in Neocortex
Material associated to C Pouzat's lectures at LASCON 2016
Creates different animated plots from electrophysiology data to be synchronsed and added to a video
Electrophysiology analysis in ventral midbrain-striatal-cortical organoids (MISCOs) pre- and post- optogenetic stimulation.
Analysis of the extracellular recordings from the locust olfactory pathway available on zenodo (https://zenodo.org/record/21589)
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