A curated list of tools, frameworks, datasets, educational resources, and community links for neuroscience. This list focuses on computational tools and software for understanding the brain, analyzing neural data, and building neurotechnological solutions.
- General Resources
- Neural Data Analysis Tools
- Brain Simulation and Modeling
- Brain Imaging Tools
- Neuroscience Datasets
- Neuroscience and AI
- Brain-Computer Interfaces (BCIs)
- Visualization Tools
- Educational Resources
- Community and Forums
- Contribute
- License
- What is Neuroscience? - An overview of neuroscience and its interdisciplinary nature.
- Neuroscience News - A website providing news on the latest neuroscience research.
- Society for Neuroscience - A global organization for advancing the understanding of the brain.
- EEGLAB - A MATLAB toolbox for analyzing EEG data.
- FieldTrip - A MATLAB toolbox for EEG, MEG, and intracranial data.
- MNE-Python - A Python library for analyzing and visualizing EEG/MEG data.
- NeuroPy - A Python library for processing and analyzing neural activity data.
- NEURON - A simulation environment for modeling neurons and networks.
- Brian - A Python library for developing and simulating spiking neural networks.
- NEST Simulator - A tool for simulating large networks of spiking neurons.
- The Virtual Brain (TVB) - A platform for simulating large-scale brain networks.
- FSL - A library for analyzing MRI, fMRI, and DTI data.
- FreeSurfer - A software suite for analyzing and visualizing structural brain imaging data.
- SPM - A MATLAB toolbox for analyzing brain imaging data.
- AFNI - A software suite for analyzing and visualizing functional MRI data.
- Allen Brain Atlas - A comprehensive resource for gene expression and brain connectivity data.
- OpenNeuro - A platform for sharing and analyzing brain imaging datasets.
- Human Connectome Project - Datasets for understanding brain connectivity.
- NeuroMorpho.Org - A database of digitally reconstructed neuron morphologies.
- DeepLabCut - A tool for tracking animal behavior using deep learning.
- Nipype - A Python-based platform for neuroimaging workflows.
- Elephant - A library for analyzing electrophysiology data using Python.
- NetPyNE - A Python library for developing neural network simulations with AI integration.
- OpenBCI - Open-source tools for developing BCIs and EEG-based applications.
- BCILAB - A MATLAB toolbox for designing and analyzing BCIs.
- NeuroPype - A platform for designing and deploying BCIs.
- Brainflow - A framework for accessing and processing EEG data.
- BrainGL - A 3D brain visualization tool.
- MRIcron - A tool for visualizing medical imaging data.
- nilearn - A Python library for statistical learning and visualizing neuroimaging data.
- PySurfer - A Python library for visualizing brain surface data.
- Coursera: Computational Neuroscience - A beginner-friendly course on computational neuroscience.
- EdX: Fundamentals of Neuroscience - A comprehensive course from Harvard University.
- Principles of Neural Science - A foundational book in neuroscience.
- 3Blue1Brown Neural Networks - A video series on understanding neural networks.
- r/Neuroscience - A subreddit for discussing neuroscience topics.
- NeuroStars - A community platform for neuroscience-related questions and discussions.
- BrainHack - A community for open neuroscience and collaborative research.
- Stack Overflow: Neuroscience - Q&A for neuroscience-related programming questions.
Contributions are welcome!