Trending repositories for topic computational-neuroscience
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
A list of schools and researchers in computational neuroscience
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
A publicly-editable collection of open computational neuroscience resources
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
A list of schools and researchers in computational neuroscience
A publicly-editable collection of open computational neuroscience resources
Repository to create traveling waves integrate special information through time
Repository to create traveling waves integrate special information through time
A list of schools and researchers in computational neuroscience
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
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 python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
A publicly-editable collection of open computational neuroscience resources
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Leaky Integrate and Fire (LIF) model implementation for FPGA
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
Data and code for the Algonauts Project 2025 challenge.
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...
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
Coursera Computational-NeuroScience course of the University of Washington
Code supporting 'Geometric constraints on human brain function'
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
Leaky Integrate and Fire (LIF) model implementation for FPGA
Data and code for the Algonauts Project 2025 challenge.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
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
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...
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...
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
Coursera Computational-NeuroScience course of the University of Washington
Code supporting 'Geometric constraints on human brain function'
A publicly-editable collection of open computational neuroscience resources
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Repository to create traveling waves integrate special information through time
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 🤖.
Repository to create traveling waves integrate special information through time
Data and code for the Algonauts Project 2025 challenge.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Code supporting 'Geometric constraints on human brain function'
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
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Feature extraction and prediction of human neural signals, using chaos theory, dynamical systems theory, various physics/maths theories, RNN, CNN, transformers
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...
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Leaky Integrate and Fire (LIF) model implementation for FPGA
ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
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...
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
A list of schools and researchers in computational neuroscience
Coursera Computational-NeuroScience course of the University of Washington
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
A publicly-editable collection of open computational neuroscience resources
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.