A list of open resources for learning and working with digital signal processing.
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Updated
Aug 19, 2022
A list of open resources for learning and working with digital signal processing.
Classifies rock-paper-scissors hand gestures from optically pumped magnetometer (OPM) data recorded at the University of Nottingham.
SynapDrive-AI simulates seamless Brain-Computer Interface integration with modular AGI for real-time, safe control of advanced physical systems like Tesla vehicles, SpaceX rockets, and Hyperloop infrastructure. It pioneers memory-driven, vision-aware, and safety-guarded cognition to accelerate human-machine synergy.
Python code for the Neural Signal Processing and Analysis Course given by Mike X Cohen.
Comparison of machine learning architectures for neural decoding of self-location | MSc dissertation project
Neuro-inspired machine learning on intracortical recording. The aim is to build useful and compressed local field potential features from spike times as part of the 2023 OHBM hackathon.
The project aims to use an interdisciplinary approach to test if neural processes in occulomotor and motor areas could be studies using mathematical models from neck and shoulder muscles during cognitive tasks
Predicts people’s stress levels from their resting-state EEG recordings in the LEMON dataset.
High-throughput, cycle-level neural signal analytics validated on clinical-scale iEEG data for biomarker discovery in human cognition.
Implements EEG-based neurofeedback experiments with PsychoPy. Analyzes neural activity for performance changes.
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