Trending repositories for topic 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...
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...
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
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
A list of schools and researchers in computational neuroscience
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
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 🧠💻👩🏿🔬
A list of schools and researchers in computational neuroscience
A list of schools and researchers in computational neuroscience
A publicly-editable collection of open computational neuroscience resources
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)
Code supporting 'Geometric constraints on human brain function'
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Code supporting 'Geometric constraints on human brain function'
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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 modelling locomotion in complex environments and spatially/velocity selective cell activity.
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
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 modelling locomotion in complex environments and spatially/velocity selective cell activity.
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Code supporting 'Geometric constraints on human brain function'
Leaky Integrate and Fire (LIF) model implementation for FPGA
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Coursera Computational-NeuroScience course of the University of Washington
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
Leaky Integrate and Fire (LIF) model implementation for FPGA
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Code supporting 'Geometric constraints on human brain function'
This reading list is centered around the practical application of linear dynamical systems models to predict neural data
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)
A list of schools and researchers in computational neuroscience
Coursera Computational-NeuroScience course of the University of Washington
Computational Neuroscience Crash Course (University of Bordeaux, 2020)
A publicly-editable collection of open computational neuroscience resources
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing
A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.