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 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for event-ssm
- Training Recurrent Neural Networks via Forward Propagation Through Time☆36Updated 3 years ago
- jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 n…☆15Updated last week
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆49Updated 2 years ago
- ☆87Updated 8 months ago
- Long short-term memory Spiking Neural Networks☆99Updated 4 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 2 years ago
- Implementation of eventprop learning in GeNN☆13Updated 3 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆45Updated last year
- Deep and online learning with spiking neural networks in Python for Graphcore IPU☆10Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆26Updated 5 months ago
- Deep Spiking Reinforcement Learning☆19Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆76Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆291Updated 3 months ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆41Updated 3 months ago
- ☆27Updated 3 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- Neuromorphic Intermediate Representation reference implementation☆81Updated this week
- ☆17Updated 3 years ago
- Threshold annealing in binarized spiking neural networks☆14Updated 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
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆63Updated this week
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆81Updated 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…☆265Updated 2 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆11Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆55Updated 6 years ago
- A Loihi emulator based on Brian2☆24Updated 2 years ago
- ☆28Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- Python package to train, deploy, and communicate with TrueNorth☆13Updated 5 years ago