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A curated list of awesome neuroscience libraries, software and any content related to the domain.
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A Python library for creating and simulating large-scale brain models
Timeseries analysis for neuroscience data
Machine learning for NeuroImaging in Python
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Python package to access a cacophony of neuro-imaging file formats
For running psychology and neuroscience experiments
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Brian is a free, open source simulator for spiking neural networks.
Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments
Simulation of spiking neural networks (SNNs) using PyTorch.
A Python-based module for creating flexible and robust spike sorting pipelines.
The MATLAB toolbox for MEG, EEG and iEEG analysis
Visualizer for large-scale and interactive ray-tracing of neurons
Web-based visualization tools for neurological data.
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
Graph theory analysis of brain MRI data
Discover magazine's neuroscience blog which offers a look at the latest developments in neuroscience, psychiatry and psychology through a critical lens.
Scientific American, this blog typically covers one research paper in a single entry.
NMA Computational Neuroscience course
A topic-centric list of HQ open datasets.
List of summer schools in neuroscience and related fields