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