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.
SynapDrive-AI is a simulation-first prototype for safe intent handling in BCI-inspired systems, combining context-aware routing, safety gating, replayable sessions, offline EEG-style analysis, and sequential task planning for controlled action execution.
High-throughput, cycle-level neural signal analytics validated on clinical-scale iEEG data for cognitive biomarker discovery
Python code for the Neural Signal Processing and Analysis Course given by Mike X Cohen.
Neural Decoder Optimization: A Comparative Study of Modern Optimizers
Classifies rock-paper-scissors hand gestures from optically pumped magnetometer (OPM) data recorded at the University of Nottingham.
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.
Comparison of machine learning architectures for neural decoding of self-location | MSc dissertation project
Implements EEG-based neurofeedback experiments with PsychoPy. Analyzes neural activity for performance changes.
Predicts people’s stress levels from their resting-state EEG recordings in the LEMON dataset.
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
Neural Signal Analysis Toolbod
brain computer interface notes
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