There are 5 repositories under neurons topic.
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
The NEST simulator
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
An easy neural network for Java!
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
Library to make and train a concurrent multilayer perceptron
Using Self-Organizing Maps for Travelling Salesman Problem
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
A unified framework for skeletonization, morphological analysis, and connectivity analysis.
The ImageJ framework for quantification of neuronal anatomy
Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy
TREES toolbox
Reconstruction of watertight meshes and annotated volumes of neuroscience spatial structures from non-watertight inputs, segmented masks, skeletons of NGV morphologies and volumes.
A spiking neural network simulation library
:traffic_light: An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.
An object-oriented language for modeling large-scale neural systems, along with an IDE for writing and simulating models.
Classifying malignant and benign tumors using Neural Networks 🔬