Human electrophysiology

ERPLAB

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis.

EmotiBit

EmotiBit is a wearable sensor to capture high-quality emotional, physiological, and movement data from just about anywhere on the body. Project Author(s) Sean Montgomery Project Links https://www.emotibit.com/ Project Video https://www.youtube.com/watch?v=jbcL2jzyWj4&ab_channel=EmotiBit

INCF NeuroStars

Neurostars is an open source question and answer site that serves the INCF network and the global neuroscience community as a forum for knowledge exchange between neuroscience researchers at all levels of expertise, software developers, and infrastructure providers.

INCF Portal

The INCF portal is the guide to the INCF activities and its community resources. INCF advances data reuse and reproducibility in brain research by coordinating the development of Open, FAIR, and Citable tools and resources for neuroscience

MNE-Python

MNE is a software package for processing electrophysiological signals primarily from magnetoencephalographic (MEG) and electroencephalographic (EEG) recordings, and more recently sEEG, ECoG and fNIRS. It provides a comprehensive solution for data preprocessing, forward modeling (with boundary element models), distributed source imaging, time–frequency analysis, non-parametric multivariate statistics, multivariate pattern analysis, and connectivity estimation.

SpikeInterface

SpikeInterface is a unified Python framework for spike sorting. With its high-level API, it is designed to be accessible and easy to use, allowing users to build full analysis pipelines for spike sorting (reading-writing (IO) / preprocessing / spike sorting / postprocessing / validation / curation / comparison / visualization) with a few lines of code.

Heuristic Spike Sorting Tuner (HSST), a framework to determine optimal parameter selection for a generic spike sorting algorithm

Extracellular microelectrodes frequently record neural activity from more than one neuron in the vicinity of the electrode. The process of labeling each recorded spike waveform with the identity of its source neuron is called spike sorting and is often approached from an abstracted statistical perspective.