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
May 17, 2024 - MATLAB
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Fast spike sorting with drift correction for up to a thousand channels
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
A Python-based module for creating flexible and robust spike sorting pipelines.
phy: interactive visualization and manual spike sorting of large-scale ephys data
Blue Brain Python Optimisation Library
Elephant is the Electrophysiology Analysis Toolkit
Parameterizing neural power spectra into periodic & aperiodic components.
Modules for processing extracellular electrophysiology data from Neuropixels probes
C++ lsl library for multi-modal time-synched data transmission over the local network
A list of openly available datasets in (mostly human) electrophysiology.
Chaste - Cancer Heart And Soft Tissue Environment - main public repository.
CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.
Python-based module for extracting from, converting between, and interfacing with many common file formats in extracellular recording.
Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data
[This repository is archived, will be deprecated after the release of phy 2.0]
Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF
Electrophys Feature Extraction Library
pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files
Python-based tools for pre-, post-processing, validating, and curating spike sorting datasets.
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