kghose / LiquidLinks
Liquid is a simulator for liquid state machines (LSM). The emphasis is on developing intuitions about how these constructs work and visualizing the machine in operation.
☆18Updated 12 years ago
Alternatives and similar repositories for Liquid
Users that are interested in Liquid are comparing it to the libraries listed below
Sorting:
- Event-based deep belief network offline training algorithm☆22Updated 11 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Updated 3 years ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- Convolutional 3D Spiking Neural Network to classify videos☆14Updated 8 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- Spiking Neural Network☆7Updated 7 years ago
- Reinforcement Learning for Spiking Neural Networks☆83Updated 10 months ago
- ☆32Updated 6 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
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- A Liquid State Machine (LSM) with E-I balanced neurons☆5Updated 6 years ago
- Reinforcement Learning in Spiking Neural Networks☆8Updated 7 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 years ago
- Some of my initial studies using spiking neural networks and Python☆37Updated 3 years ago
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- Spiking Neural Network to identify spoken letters☆8Updated 7 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 6 years ago
- Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)☆19Updated 7 years ago
- spiking-neural-networks☆37Updated 5 months ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Nuerapse simulations for SNNs☆24Updated 6 years ago
- Implementation of a Spiking Neural Network in Tensorflow.☆23Updated 7 years ago
- Deep learning integration for Nengo☆90Updated 3 months ago