IGITUGraz / H-Mem
Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for H-Mem
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆55Updated 6 years ago
- Long short-term memory Spiking Neural Networks☆99Updated 4 years ago
- ☆87Updated 8 months ago
- ☆33Updated 4 years ago
- Liquid State Machines in Python and NEST☆67Updated 4 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆61Updated 4 months ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆31Updated 4 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆46Updated 4 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆52Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 8 months ago
- Brian 2 frontend to the GeNN simulator☆47Updated 2 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆26Updated 5 months ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆36Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 7 months ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 3 years ago
- Supervised Spiking Network☆79Updated 2 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆22Updated 10 months ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆28Updated 3 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- ☆28Updated last year
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 6 years ago
- ☆66Updated 10 months ago
- Neurons learn by predicting future activity☆27Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 8 months ago
- Event-Driven CD in Spiking Neural Networks☆21Updated 8 years ago
- ☆19Updated 2 years ago
- Implementation of feedback alignment learning in PyTorch☆29Updated last year