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.
Electrophysiology analysis in ventral midbrain-striatal-cortical organoids (MISCOs) pre- and post- optogenetic stimulation.
Electrophysiology analysis in ventral midbrain-striatal-cortical organoids (MISCOs) pre- and post- optogenetic stimulation.
🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.
Creates different animated plots from electrophysiology data to be synchronsed and added to a video
Code for the paper "Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders"
Identifying Network State from Extracellular Recordings during Wakefulness in Neocortex
a graphical tool for generating hybrid ground-truth spiking data for evaluating spike sorting performance
Repository for Modelling of an in vitro Neuromodulatory Co-culture System
Material associated to C Pouzat's lectures at LASCON 2016
Analysis of the extracellular recordings from the locust olfactory pathway available on zenodo (https://zenodo.org/record/21589)
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
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