#Computational-neuroscience
Showing 13 of 13 repositories tagged #computational-neuroscience, ranked by stars
Slides, paper notes, class notes, blog posts, and research on ML ๐, statistics ๐, and AI ๐ค.
NGC-Learn: Computational Neuroscience and NeuroAI in Python
MNE-CPP: The C++ framework for real-time functional brain imaging.
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Neuromorphic Computing Engine. SNN AI Architecture base from biology
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
A large-scale spiking model of the vision-related areas of macaque cortex.
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.
Data and code for the Algonauts Project 2025 challenge.
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Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)