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79 search results found

Brian is a free, open source simulator for spiking neural networks.

Csinva.github.io ⭐ 515

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Open Computational Neuroscience Resources ⭐ 481

A publicly-editable collection of open computational neuroscience resources

Brainpy ⭐ 438

Brain Dynamics Programming in Python

Neurolib ⭐ 369

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

Brain Cog ⭐ 357

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. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

HE —— “螺旋熵减机”

Computational Cognitive Neuroscience, Fourth Edition

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

Bluepyopt ⭐ 190

Blue Brain Python Optimisation Library

Awesome Computational Neuroscience ⭐ 166

A list of schools and researchers in computational neuroscience

Mne Cpp ⭐ 143

MNE-CPP: A Framework for Electrophysiology

Ratinabox ⭐ 135

A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.

Helix_theory ⭐ 132

theory of helix—— “螺旋论（可用来构建螺旋熵减机、及自然演化熵减机系统等）”

Inner ear models for Python

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

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.

Open Science Resources ⭐ 73

A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.

Ngc Learn ⭐ 71

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

Multi Area Model ⭐ 66

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)

Computational Neuroscience Uw ⭐ 61

Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington

Electrophys Feature Extraction Library

Braineigenmodes ⭐ 57

Code supporting 'Geometric constraints on human brain function'

Brian2cuda ⭐ 56

A brian2 extension to simulate spiking neural networks on GPUs

YASS: Yet Another Spike Sorter

Ccn_association ⭐ 48

认知计算神经联盟讨论会

Neural Nlp ⭐ 41

[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing

Brainmodels ⭐ 38

Brain models implementation with BrainPy

Python In Neuroscience Tutorials ⭐ 38

Collection of tutorials about methods of computational neuroscience using Python

Eeg_encoding ⭐ 38

Use DNNs to build encoding models of EEG visual responses.

Computational Neuroscience ⭐ 37

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

A virtual optogenetics laboratory

Neuronunit ⭐ 32

A package for data-driven validation of neuron and ion channel models using SciUnit

Rtneuron ⭐ 30

Interactive visualization framework for geometrically detailed neuron simulations

Neuromatch Academy ⭐ 30

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

Cncc 2019 ⭐ 24

Computational Neuroscience Crash Course (CNCC 2019)

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 collaboration in neuroscience research.

Simulationtutorials ⭐ 23

Public tutorials around electrophysiological simulations

Plumetracknets ⭐ 21

Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434

Cncc 2020 ⭐ 20

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

Spikeflow ⭐ 20

Python library for easy creation and running of spiking neural networks in tensorflow.

High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.

Interactive_neuron_model_simulator ⭐ 19

Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

Notebooks ⭐ 18

Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.

Spiking Neural Network On Fpga ⭐ 18

Leaky Integrate and Fire (LIF) model implementation for FPGA

Spike analysis software

Convrnns ⭐ 16

ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks

Neural Dynamics Gyration ⭐ 14

A repository containing the code accompanying the research paper "On the Rotational Structure in Neural Data" by Kuzmina E., Kriukov D., Lebedev M.

Computational Anatomy Toolbox for SPM12

Osb_documentation ⭐ 13

Source repository for documentation at Open Source Brain

Algonauts_2023 ⭐ 12

Load and model the brain data of the Algonauts Project 2023 Challenge.

A Tutorial for Parallelised Scalable Simulations in TensorFlow

Workshop Nyu 2019 ⭐ 12

Introductory workshop to modeling and model fitting in cognitive and computational neuroscience

Snnformnist ⭐ 12

A Spiking Neural Network Architecture for MNIST Digit Recognition

Workshop Bristol 2019 ⭐ 10

Introductory workshop to modeling and model fitting in psychophysics and neuroscience

Simulating a primordial brain. A biological (spiking) neural network structuring itself through natural selection.

Documentation ⭐ 10

Source repository for NeuroML documentation.

An updated version of the Open Source Brain platform

Dynamics In Neuro Reading List ⭐ 9

This reading list is centered around the practical application of linear dynamical systems models to predict neural data

Professional Workshop 3 ⭐ 9

上海交通大学致远数学方向专业研讨课3 [计算神经科学专题]

Code for "Contrasting action and posture coding with hierarchical deep neural network models of proprioception"

Archibrain ⭐ 8

Synthesize bio-plausible neural networks for cognitive tasks, mimicking brain architecture

Sparse Coding ⭐ 8

An implementation of Olshausen and Field (96) in PyTorch

Eeg Chaos Kuramoto Neural Net ⭐ 8

EEG prediction using Chaos Theory, Dynamical Systems Theory, and neural networks

Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks

Tools for computational psychiatry research.

Braineigenmodes_legacy ⭐ 7

Code supporting 'Geometric constraints on human brain function'

Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience

Neuromatchacademy ⭐ 6

Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models on spiking data, made during the Neuromatch Academy 2020.

Sjtu 11th Cns Winter School ⭐ 6

Tutorial repo for 11th computational neuroscience winter school @LCNS-SJTU.

Simulate and analyse complex microcircuits

Neuro_ai_papers ⭐ 5

A curated repository of Neuro-AI papers.

Human Brain Rat ⭐ 5

Bio-Silicon Synergetic Intelligence System

Speech_spike_signatures ⭐ 5

Spiking neural networks (SNNs) for speech classification

python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper

Elmneuron ⭐ 5

Code related to the ELM neuron.

Eeg_fconn ⭐ 5

Python library to compute functional connectivity measures from EEG

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