There are 169 repositories under neuroscience topic.
NMA Computational Neuroscience course
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
A curated list of awesome neuroscience libraries, software and any content related to the domain.
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Deep and online learning with spiking neural networks in Python
Brian is a free, open source simulator for spiking neural networks.
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
Deep learning software to decode EEG, ECG or MEG signals
A list of schools and researchers in computational neuroscience
Mother of All BCI Benchmarks
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
A publicly-editable collection of open computational neuroscience resources
a python based software for visualization of neuroanatomical and morphological data.
EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.
A Python-based module for creating flexible and robust spike sorting pipelines.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Parameterizing neural power spectra into periodic & aperiodic components.
Generate custom Docker and Singularity images, and minimize existing containers
CS198-96: Intro to Neurotechnology @ UC Berkeley
AntroPy: entropy and complexity of (EEG) time-series in Python
Brain Modeling Toolkit
ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.