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
The Hyperscanning Python Pipeline
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
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.
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
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.
Unified framework and Mamba for fNIRS: A Unified fNIRS Classification Framework Informed by Local Brain Activation Patterns
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