fnirs

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

MATLAB application for fNIRS data processing and visualization

The Hyperscanning Python Pipeline

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

Record and Stream Muse S Athena signals with Python

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

Temporal Derivative Distribution Repair: A motion correction method for fNIRS

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

fNIRS signal processing simplified

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

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

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

Unified framework and Mamba for fNIRS: A Unified fNIRS Classification Framework Informed by Local Brain Activation Patterns

Benchmarking framework for machine learning with fNIRS

Testing the Muse S Athena and trial stimulus markers using a simple paradigm whereby the participant must categorise 612 faces (102 unique faces, with six repetitions each) as being either "male" or "female" through a simple keyboard response.

Wrapper for MNE that makes fNIRS data analysis easier

Redbird - A Model-Based Diffuse Optical Imaging Toolbox