QUVA-Lab / spiking-equilibrium-prop
☆11Updated 4 years ago
Alternatives and similar repositories for spiking-equilibrium-prop:
Users that are interested in spiking-equilibrium-prop are comparing it to the libraries listed below
- ☆114Updated last year
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- ☆28Updated 5 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆31Updated 8 years ago
- Deep Learning without Weight Transport☆35Updated 5 years ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 7 years ago
- Synaptic Plasticity with Online Reinforcement learning☆25Updated 6 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Updated 7 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 6 years ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated last year
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 2 years ago
- NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science☆131Updated 6 years ago
- ☆24Updated 4 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- ☆36Updated 10 years ago