Toolbox with script to analyze DeepLabCut animal behavior experiments
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Updated
Feb 7, 2026 - Python
Toolbox with script to analyze DeepLabCut animal behavior experiments
🧠 Detect neurodegenerative patterns early using advanced machine learning with ADNI data for improved insights and outcomes.
🧠 Detect neurodegenerative patterns early using advanced machine learning models with ADNI data for impactful health insights.
Biologically plausible cognitive architecture: structural memory, thought formation, and language without gradients or backpropagation
🧠 Detect MCI from EEG/ERP data using standardized datasets, feature pipelines, and robust validation metrics for reproducible research.
Biologically-inspired cognitive memory architecture for AI agents. Affect • Binding • Free Energy • Hyperbolic semantics • Metacognition.
NEMESIS (Non-periodic Event Monitoring & Evaluation of Stimulus-Induced States). A desktop app for Stentor habituation: live USB-microscope preview, Arduino stepper taps (Periodic/Poisson, seedable), independent MP4 recording, CSV v1.0 logging + run.json, and plotting for fast, reproducible analysis.
Claude 4.6 - 4.5 and so on came up with this. A sort of look into holographic functions of brain. May be AI slop / BS. Possible cheap way of detecting alzhmeimers with EEG.
mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while preserving signal rank and interpretability.
Unified Python API for neuroscience datasets: OpenNeuro, DANDI, PhysioNet, Zenodo. BIDS/NWB metadata search with MCP server for AI agents. Part of SciTeX ecosystem.
Deep learning software to decode EEG, ECG or MEG signals
Mother of All BCI Benchmarks
Bio-inspired CNN modeling M/P/K pathways of the LGN - structural approach to scaling
Development of the BCI interface
open-source Network Motif Detector for directed signed graphs (supports arbitrary polarity and large patterns!)
The Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolution neural activity throughout an entire vertebrate brain.
For running psychology and neuroscience experiments
Relational data pipelines for the science lab
EEG Motor Imagery Analysis Pipeline: Preprocessing, ERD validation, and band optimization for BCI applications
A Python interface to access neuroanatomical atlases
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