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

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

SNIRF Format Specification

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

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

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

Example fNIRS BIDS dataset

Record and Stream Muse S Athena signals with Python

Temporal Attention Fusion Network with Custom Loss Function for EEG-fNIRS Classification

Redbird - A Model-Based Diffuse Optical Imaging Toolbox

Benchmarking framework for machine learning with fNIRS

fNIRS Apps: Sourcedata to BIDS

Wrapper for MNE that makes fNIRS data analysis easier

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

A unified framework and a Mamba model for fNIRS Classification.