#Neuroscience
Showing 60 of 75 repositories tagged #neuroscience, ranked by stars
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
NMA Computational Neuroscience course
Deep and online learning with spiking neural networks in Python
Deep learning software to decode EEG, ECG or MEG signals
Mother of All BCI Benchmarks
A Python library for creating and simulating large-scale brain models
A Software Framework for Neuromorphic Computing
A Python package to visualise neuroanatomical data in atlas space
Slides, paper notes, class notes, blog posts, and research on ML ๐, statistics ๐, and AI ๐ค.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Vestige gives AI agents sharp memory: a local-first Rust MCP server that reaches backward through time to find the quiet change, decision, or service that caused todayโs failure, not the lookalike.
cell detection in calcium imaging recordings
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Visualizer for large-scale and interactive ray-tracing of neurons
Python suite for neuroscience research across all modalities.
A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
A multi-purpose GPU-accelerated open-source suite for brain data visualization
Elephant is the Electrophysiology Analysis Toolkit
Automated 3D cell detection in very large images
Distributed, Versioned, Image-oriented Dataservice
NGC-Learn: Computational Neuroscience and NeuroAI in Python
PyTorch Connectomics: segmentation toolbox for EM connectomics
python implementations of Analyzing Neural Time Series Textbook
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
MNE-CPP: The C++ framework for real-time functional brain imaging.
Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.
Simulator optimized for large scale neural network simulations.
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
yet another brain plot - beautiful brain visualisations for the cortex, subcortex, and tracts.
Python library for analysis of neuroanatomical data.
Emory BMI GSoC Project Ideas
Fast and scalable spike sorting in python
Visualization-focused examples using HoloViz for specific topics
Python code explaining how to display structural and functional fMRI data.
Deep learning integration for Nengo
Distributed behavioral experiments
Representational Similarity Analysis on MEG and EEG data
Deep learning in a spiking neural network using segregated dendrites.
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
๐ง Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)
EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
KNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for the rapid reconstruction of neural morphology and connectivity.
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Generating and validating natural-language explanations for the brain.
Persistent memory for Claude Code โ 36 neuroscience mechanisms, 97 papers. Reproducible via `make reproduce`: LongMemEval-S R@10 98.2% / MRR 0.915 (n=500), LoCoMo R@10 91.5% / MRR 0.805 (n=1982), BEAM-100K retrieval-proxy MRR 0.55. Clean-DB, single-process, production recall path. PostgreSQL + pgvector.
Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQLite.
:zap: :books: Papers and other material for getting started with Neuro-AI! :brain: :boom:
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Neuroelectrophysiology object model and data analysis in Python.
Symbolic Generators for Complex Networks
Multi-modal Image Registration And Connectivity anaLysis
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq install.
Check metadata and visualize neuroimages within VSCode.
Code for the COG dataset and network
EYE-EEG toolbox for combining eye-tracking & EEG
A presentation on best coding/data management practices based on my own experiences of scientific computing and data analysis and heavily borrowing from the recommendations of many others. View presentation at: https://edeno.github.io/Better-Science-Code
An interactive web-based neuroscience app for analyzing task-related functional networks over time and frequency
Axon is a spiking, biologically-based neural model driven by predictive error-driven learning, for systems-level models of the brain