spiking-neural-networks topic

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 in...

guillaume-chevalier

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

BasBuller

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

djsaunde

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. T...

BrainCog-X

JAX-based Spiking Neural Network framework

MarkusAI

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

UCI-CARL

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

tudelft

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

UCI-CARL

Deep learning integration for Nengo

nengo

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

fzenke