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