EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

Brain Time Toolbox: Warp electrophysiological data from clock time to brain time and analyze the dynamic neural patterns of cognitive processes.

EYE-EEG toolbox for combining eye-tracking & EEG

Symphony Data Acquisition System

BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysis

Neurophysiological data analyses by engineers, for physiologists.

PANDORA is a Matlab Toolbox for analyzing neuronal electrophysiology data and constructing databases. See the Wiki for branch information.

This repository contains code reproducing an existing method to detect atrial fibrillation using empirical mode decomposition of signals. This was a lecture that I gave for graduate-level BioSignal Processing course.

Behavioural and neural analysis for Temporal (and later Spatial) tasks

'minis' is a software for electrophysiological data analysis. It allows you to detect and analyse spontaneous postsynaptic potetnials/currents in whole-cell patch clamp recordings and to estimate the quantal size in the central synapse.

Code for internal lab sharing

DeePhys was created to facilitate the analysis of extracellular recordings of neuronal cultures using high-density microelectrode arrays (HD-MEAs)

A MATLAB package for NI-DAQ to help you do experiments. Kontroller has a easy-to-use GUI, with support for automation and is fully programmable.

Interfaces and utilities for analysis of neurophysiology and behavioral data

Populations of models for cardiac electrophysiology

PASER: Processing and Analysis Schemes for Extracellular Recordings

Live display of neural spike data for SpikeGLX software

[no longer supported] for a more powerful version of this that supports multiple channels and uses machine learning, look here ➡️