Simulation of spiking neural networks (SNNs) using PyTorch.

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

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

Extraction of 3D skeletons from meshes.

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.

Python library for analysis of neuroanatomical data.

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

Neuronal Morphology Analysis Tool

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

Using Self-Organizing Maps for Travelling Salesman Problem

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy

This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.

An interactive image processing program for biologists written in Python.

Mesh generation, skeletonization, voxelization of sparse 3D data.

Implementing Artificial Neural Network training process in Python