jordan-g / Segregated-Dendrite-Deep-LearningLinks
Deep learning in a spiking neural network using segregated dendrites.
☆85Updated 8 years ago
Alternatives and similar repositories for Segregated-Dendrite-Deep-Learning
Users that are interested in Segregated-Dendrite-Deep-Learning are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆104Updated 8 months ago
- Responses of 10,000 neurons to 2,800 natural images☆72Updated 6 years ago
- interactive analysis of calcium imaging data from larval zebrafish☆137Updated 6 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Updated 8 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆48Updated 5 years ago
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆387Updated 4 years ago
- deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…☆57Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆52Updated 9 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated 2 years ago
- repository for grid cell network code☆66Updated 2 years ago
- Python exercises accompanying the book "Neuronal Dynamics"☆266Updated last year
- A Python package for simulator-independent specification of neuronal network models.☆298Updated last month
- Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`☆14Updated 4 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Python implementation of the Leabra framework☆18Updated 7 years ago
- ☆74Updated 3 years ago
- A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks☆34Updated 4 years ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- ☆143Updated 4 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Tools for spike data analysis and visualization☆109Updated 2 years ago
- ☆28Updated 6 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆102Updated last year
- Training neural networks with target propagation☆13Updated 8 years ago
- Synaptic Plasticity with Online Reinforcement learning☆26Updated 7 years ago