EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
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Updated
Jul 20, 2024 - MATLAB
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Elephant is the Electrophysiology Analysis Toolkit
a Python machine learning library for neurophysiology data
cli for downloading data from crcns.org
Multichannel time series lossless compression in pure Python based on NumPy and zlib
Visualization of electrophysiological data from Elephant
Analyze neuroscience data in the cloud
A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task
Core methods and structures for neuroscience research in Julia.
A multipurpose matlab-based MEG/EEG overlay & network plotter
Example code accompanying the sternberg concept cell data release for Kyzar et al. (2024)
An automated, end-to-end, machine-learning-based spike sorting pipeline following the DeepCluster method
Easy IO, inspection, and manipulation of electrophysiological data.
Python toolbox for neural data analysis in Sheinberg lab at Brown University
PVBS (Prairie View Browsing Solution) - General-purpose GUI for electrophysiology (patch clamp) and calcium imaging
R package for managing and analyzing neurophysiology data
This repo details several specific analyses of neuroimaging/neurophysiology data, like power calculations for M/EEG.
matlab tools for TDT data: 1) convert to plx for spike sorting 2) online visualizer
The script allows to create averages from ordered chunks of single epochs. It does so by condition, no matter if the number of trials differs. The maximum difference between averages in the number of trials they contain is 1.
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