Simulation of spiking neural networks (SNNs) using PyTorch.
-
Updated
Jul 24, 2024 - Python
Simulation of spiking neural networks (SNNs) using PyTorch.
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
Extraction of 3D skeletons from meshes.
Blue Brain Python Optimisation Library
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
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.
Python library for analysis of neuroanatomical data.
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.
A generalizable model of spike-timing dependent plasticity for the Neural Simulation Tool (NEST).
Implementing Artificial Neural Network training process in Python
Add a description, image, and links to the neurons topic page so that developers can more easily learn about it.
To associate your repository with the neurons topic, visit your repo's landing page and select "manage topics."