A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)

MATLAB application for fNIRS data processing and visualization

SNIRF Format Specification

Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification

Package for analysing functional near-infrared spectroscopy (fNIRS) data

Python package for reading, writing and validating Shared Near Infrared Spectroscopy Format (SNIRF) files

CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification

fNIRS signal processing simplified

Temporal Derivative Distribution Repair: A motion correction method for fNIRS

Convert optical density data (red and infrared) from functional near infrared spectrope (fNIRS) to oxy, de-oxy haemoglobin concentrations using modified Beer-Lambert law.

Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/

Example fNIRS BIDS dataset

It collects the device data from the hardware while watching test videos and stores the results for each test user.

Read NIRX near-infrared spectroscopy files

fNIRS Apps: Sourcedata to BIDS

Wrapper for MNE that makes fNIRS data analysis easier

A command line wrapper for the NIRS Brain AnalyzIR toolbox

Python package for generating BIDS-fNIRS files from SNIRF files

Benchmarking framework for machine learning with fNIRS