NeuromorphicComputing / SoftHebb
☆75Updated last year
Alternatives and similar repositories for SoftHebb:
Users that are interested in SoftHebb are comparing it to the libraries listed below
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆63Updated 2 years ago
- ☆90Updated last year
- ☆28Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆50Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆53Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- [CELL PATTERNS] Official repo of Noisy Spiking Neural Networks☆18Updated last year
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆59Updated last year
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated last year
- ☆44Updated last year
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 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
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated this week
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 6 months ago
- Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse☆17Updated 6 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 10 months ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Updated 3 years ago
- ☆53Updated 2 years ago
- ☆45Updated 2 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- Neurons learn by predicting future activity☆28Updated 3 years ago
- ☆33Updated 5 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆77Updated this week
- ☆16Updated 4 years ago
- ☆50Updated last year