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
Package for analysing functional near-infrared spectroscopy (fNIRS) data
CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification
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/
A command line wrapper for the NIRS Brain AnalyzIR toolbox
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
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.
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