Efficient-Scalable-Machine-Learning / event-ssm
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
☆10Updated 7 months ago
Alternatives and similar repositories for event-ssm:
Users that are interested in event-ssm are comparing it to the libraries listed below
- Implementation of eventprop learning in GeNN☆13Updated 3 weeks ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 2 years ago
- ☆89Updated 10 months ago
- Deep Spiking Reinforcement Learning☆21Updated last year
- jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 n…☆16Updated last month
- Training Recurrent Neural Networks via Forward Propagation Through Time☆37Updated 3 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 2 years ago
- ☆28Updated 3 weeks ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆27Updated 7 months ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆41Updated 6 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆78Updated last year
- Long short-term memory Spiking Neural Networks☆98Updated 4 years ago
- Threshold annealing in binarized spiking neural networks☆14Updated 2 years ago
- Event-based neural networks☆25Updated 6 months ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆64Updated 3 years ago
- Deep and online learning with spiking neural networks in Python for Graphcore IPU☆9Updated last year
- ☆19Updated 2 years ago
- ☆17Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆27Updated 2 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆43Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- ☆43Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆88Updated 2 months ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated 5 months ago
- Event datasets and transforms.☆219Updated this week