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Official implementation of "What Do EEG Foundation Models Capture from Human Brain Signals?"
collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Dance is an end-to-end framework that detects and classifies events in EEG signals. In a single forward pass, it extracts a set of events directly from the raw, unaligned recording.
Wrapper for MNE that makes fNIRS data analysis easier
A precise intra and extracellular electrical stimulator
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C...
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
fnirs deep learning quality assessment with gui
Reproducible MATLAB demo of the fNIRS/HD-DOT pipeline from my honors thesis: raw data QC, GVTD motion detection, OD conversion, bandpass filtering, short-channel regression, GLM-based activation ma...
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
Deep learning software to decode EEG, ECG or MEG signals
🌟本项目自动抓取并索引科学空间的文章元数据,按研究主题进行规则分类,方便在 GitHub 上快速浏览并跳转到原文。
Prompt as Code | GPT-Image2 工业级提示词引擎与模板库,470+ 个案例逆向工程,20+ 套工业级模板,并提炼出Skills,持续更新中
KEJILION.SH 一款全功能的Linux管理脚本!An all-in-one Linux management script!
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
This is the repository with the materials for the Graz BCI 2019 workshop : "Benchmarking BCI classification methods: a hands-on introduction"