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:
- ☆114Updated last year
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 3 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- Deep Learning without Weight Transport☆35Updated 5 years ago
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- ☆28Updated 6 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 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
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆36Updated 6 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 7 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- ☆36Updated 10 years ago
- ☆11Updated 4 years ago
- ☆81Updated 7 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Updated 7 years ago
- A spiking net simulator implemented in Tensorflow 2.0 with plastic synaptic delays and weights.☆38Updated 6 years ago
- Training neural networks with target propagation☆13Updated 8 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆103Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- ☆24Updated 4 years ago
- Reinforcement Learning for Spiking Neural Networks☆83Updated 9 months ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Code for "Deep predictive coding network with local recurrent processing for object recognition"☆29Updated 9 months ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago