There are 4 repositories under fnirs topic.
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)
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
Temporal Derivative Distribution Repair: A motion correction method for fNIRS
CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification
Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/
It collects the device data from the hardware while watching test videos and stores the results for each test user.
Wrapper for MNE that makes fNIRS data analysis easier
A command line wrapper for the NIRS Brain AnalyzIR toolbox
NIRS-VIS is a Master Thesis Project for decoding visual stimuli from fNIRS brain data with transformers and autoencoders via Pytorch
Homer3_Broadband-fNIRs_Version by Louis Chang
Available fNIRS dataset collected by and published in Giorjiani et al., 2020 - doi: 10.1007/s00221-020-05904-w
A classification environment which learns features of fNIRS recordings and can distinguish between children which played alone and children who played with their mothers.
Adjust Homer3_preprocessing data for different subjects
This project explores real multichannel functional near-infrared spectroscopy (fNIRS) data, a non-invasive neuroimaging technique.
Python API for the ALS Voice Human-Computer and Brain-Computer Interfaces.
Convert the data recorded by SHIMADZU(.txt) to HOMER2 readable format (.nirs)
PyCharm script for testing triggers in Turbo-Satori. It connects to Turbo-Satori and sends rest and task triggers over a number of trials. Each new task period is its separate condition.
repository accompanies the paper "Interacting brains revisited: A cross-brain network neuroscience perspective"
BIDS app to view a dataset content and the events file content