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35 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 🤖.

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.

Bluepyopt ⭐ 190

Blue Brain Python Optimisation Library

Ratinabox ⭐ 135

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

Inner ear models for Python

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.

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.

Electrophys Feature Extraction Library

Brian2cuda ⭐ 56

A brian2 extension to simulate spiking neural networks on GPUs

YASS: Yet Another Spike Sorter

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.

Neuronunit ⭐ 32

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

A virtual optogenetics laboratory

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

Cncc 2019 ⭐ 24

Computational Neuroscience Crash Course (CNCC 2019)

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...

Convrnns ⭐ 16

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

Spike analysis software

Snnformnist ⭐ 12

A Spiking Neural Network Architecture for MNIST Digit Recognition

A Tutorial for Parallelised Scalable Simulations in TensorFlow

An updated version of the Open Source Brain platform

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

Tools for computational psychiatry research.

Simulate and analyse complex microcircuits

Eeg_fconn ⭐ 5

Python library to compute functional connectivity measures from EEG

Speech_spike_signatures ⭐ 5

Spiking neural networks (SNNs) for speech classification

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