raphaelholca / hebbianCNNLinks
Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)
☆50Updated 7 years ago
Alternatives and similar repositories for hebbianCNN
Users that are interested in hebbianCNN are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 4 years ago
- ☆28Updated 6 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch☆345Updated 2 months ago
- Deep Learning without Weight Transport☆36Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 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
- ☆82Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆276Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆238Updated 6 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 years ago
- Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as…☆255Updated 4 years ago
- Training neural networks with target propagation☆13Updated 8 years ago
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Updated 8 years ago
- Reinforcement Learning for Spiking Neural Networks☆82Updated last year
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 7 years ago