Trending repositories for topic computational-neuroscience
A python package for simulating motion in continuous environments and spatial cell types (e.g. place cell).
A python package for simulating motion in continuous environments and spatial cell types (e.g. place cell).
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...
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A publicly-editable collection of open computational neuroscience resources
A list of schools and researchers in computational neuroscience
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...
A publicly-editable collection of open computational neuroscience resources
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
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A python package for simulating motion in continuous environments and spatial cell types (e.g. place cell).
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Leaky Integrate and Fire (LIF) model implementation for FPGA
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.
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Leaky Integrate and Fire (LIF) model implementation for FPGA
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
A python package for simulating motion in continuous environments and spatial cell types (e.g. place cell).
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
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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 🤖.
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).
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 🧠💻👩🏿🔬
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
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.
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
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).
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...
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
Computational Neuroscience Crash Course (University of Bordeaux, 2020)
[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing