IGITUGraz / H-MemLinks
Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
☆13Updated 3 years ago
Alternatives and similar repositories for H-Mem
Users that are interested in H-Mem are comparing it to the libraries listed below
Sorting:
- ☆96Updated last year
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆341Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 4 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Liquid State Machines in Python and NEST☆74Updated 5 years ago
- Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"☆19Updated last month
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 years ago
- ☆30Updated 10 months ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆230Updated last year
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆270Updated 3 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆70Updated 6 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Updated 11 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆51Updated last month
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆131Updated 8 years ago
- Brian 2 frontend to the GeNN simulator☆48Updated 2 weeks ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆385Updated 2 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆322Updated 5 months ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆168Updated 6 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆60Updated 2 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆48Updated 5 years ago
- Cosyne workshop tutorial 2022☆122Updated 3 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆65Updated 9 months ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆24Updated 4 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆38Updated 4 years ago