Simulation of spiking neural networks (SNNs) using PyTorch.

Blue Brain Python Optimisation Library

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

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

Neuronal Morphology Analysis Tool

Electrophys Feature Extraction Library

Python library for analysis of neuroanatomical data.

A python package for simulating motion in continuous environments and spatial cell types (e.g. place cell).

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

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

Extraction of 3D skeletons from meshes.

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

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

Plugin for Blender to interface with CATMAID Server and Pull Data

Using Self-Organizing Maps for Travelling Salesman Problem

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.

State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016

A generalizable model of spike-timing dependent plasticity for the Neural Simulation Tool (NEST).

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