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Search results for neural neuroscience

30 search results found

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

A Python library for creating and simulating large-scale brain models

Awesome Neuro Ai Papers ⭐ 345

Papers from the intersection of deep learning and neuroscience

Artificial Intelligence And Machine Learning ⭐ 135

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Analyzing_neural_time_series ⭐ 124

python implementations of Analyzing Neural Time Series Textbook

Nn Brain ⭐ 102

Tutorial codes for modeling brains with neural nets

The Arbor multi-compartment neural network simulation library.

Biologically-realistic recurrent convolutional neural networks

Train PyTorch Models using the Genetic Algorithm with PyGAD

Bnn Ann Papers ⭐ 41

Papers : Biological and Artificial Neural Networks

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.

Finchscope ⭐ 34

Single photon tools for Neuroscience

Computation Neuro Course ⭐ 29

Welcome to the land of C Neuro.

Wheatnnleek ⭐ 23

Spiking neural network system

Neural Spike Train Analysis Toolbox for Matlab

Nengo Spa ⭐ 21

Implementation of the Semantic Pointer Architecture for Nengo

Neurapse ⭐ 20

Nuerapse simulations for SNNs

Snn_object_recognition ⭐ 17

One-Shot Object Appearance Learning using Spiking Neural Networks

Crabsort ⭐ 17

🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.

C++ library for simulation of multiscale neural field dynamics

Fit_neuron ⭐ 15

A neuroscience python package for the estimation and evaluation of neural models from patch clamp neural recordings, including a library of spike distance metrics..

Artificial Neural Variability For Deep Learning ⭐ 14

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization. The algorithms are based on the original paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

Inferring Hidden Structure Retinal Circuits ⭐ 13

Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`

Bci_learning ⭐ 11

Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.

Quantization-aware training with spiking neural networks

Neuromatic ⭐ 9

A neural network abstraction for C# inspired by Keras

Collection of papers in machine learning, deep learning and neuroscience

Pku Computational Neuroscience Journal Club ⭐ 7

Computational Neuroscience Journal Club in PKU

Brilliantly Radical Artificially Intelligent Neural Machine

Flexible Learning-Free Reconstruction of Neural Circuits

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