neurons

simple neural network library in ANSI C

Simulation of spiking neural networks (SNNs) using PyTorch.

🚀 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"

Visualizer for large-scale and interactive ray-tracing of neurons

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.

Extraction of 3D skeletons from meshes.

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

Blue Brain Python Optimisation Library

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.

An easy neural network for Java!

Neuronal Morphology Analysis Tool

Python library for analysis of neuroanatomical data.

A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

Electrophys Feature Extraction Library

Library to make and train a concurrent multilayer perceptron