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

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

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

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

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

Benchmarking framework for machine learning with fNIRS

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

A command line wrapper for the NIRS Brain AnalyzIR toolbox

fNIRS Apps: Sourcedata to BIDS

Wrapper for MNE that makes fNIRS data analysis easier

Python package for generating BIDS-fNIRS files from SNIRF files

NIRS-VIS is a Master Thesis Project for decoding visual stimuli from fNIRS brain data with transformers and autoencoders via Pytorch