Trending repositories for topic computational-neuroscience
A list of schools and researchers in computational neuroscience
A list of schools and researchers in computational neuroscience
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...
A publicly-editable collection of open computational neuroscience resources
Data and code for the Algonauts Project 2025 challenge.
Leaky Integrate and Fire (LIF) model implementation for FPGA
A list of schools and researchers in computational neuroscience
Data and code for the Algonauts Project 2025 challenge.
Leaky Integrate and Fire (LIF) model implementation for FPGA
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...
A publicly-editable collection of open computational neuroscience resources
A list of schools and researchers in computational neuroscience
Data and code for the Algonauts Project 2025 challenge.
A list of schools and researchers in computational neuroscience
Leaky Integrate and Fire (LIF) model implementation for FPGA
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...
A publicly-editable collection of open computational neuroscience resources
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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 collab...
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
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.
Code supporting 'Geometric constraints on human brain function'
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Data and code for the Algonauts Project 2025 challenge.
Leaky Integrate and Fire (LIF) model implementation for FPGA
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 collab...
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
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.
Code supporting 'Geometric constraints on human brain function'
A list of schools and researchers in computational neuroscience
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...
A publicly-editable collection of open computational neuroscience resources
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Data and code for the Algonauts Project 2025 challenge.
A list of schools and researchers in computational neuroscience
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...
A publicly-editable collection of open computational neuroscience resources
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Data and code for the Algonauts Project 2025 challenge.
Code supporting 'Geometric constraints on human brain function'
Leaky Integrate and Fire (LIF) model implementation for FPGA
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
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 collab...
Coursera Computational-NeuroScience course of the University of Washington
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
Leaky Integrate and Fire (LIF) model implementation for FPGA
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 collab...
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
Code supporting 'Geometric constraints on human brain function'
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Coursera Computational-NeuroScience course of the University of Washington
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
A list of schools and researchers in computational neuroscience
A publicly-editable collection of open computational neuroscience resources