zeqianli / EIBalanceLSMLinks
A Liquid State Machine (LSM) with E-I balanced neurons
☆5Updated 7 years ago
Alternatives and similar repositories for EIBalanceLSM
Users that are interested in EIBalanceLSM are comparing it to the libraries listed below
Sorting:
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 6 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆42Updated 11 months ago
- Spiking Neural Network to identify spoken letters☆8Updated 7 years ago
- ☆45Updated 3 years ago
- ☆42Updated 5 years ago
- Some of my initial studies using spiking neural networks and Python☆37Updated 3 years ago
- spiking-neural-networks☆37Updated 6 months ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- ☆17Updated 3 years ago
- Neuron-Astrocyte Liquid State Machine☆20Updated 3 years ago
- ☆9Updated 4 years ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago
- Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.☆12Updated 2 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆132Updated 4 years ago
- ☆34Updated 5 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆34Updated 7 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Updated 5 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- ☆55Updated 2 years ago
- ☆38Updated 3 years ago
- Conversion from CNNs to SNNs using Tensorflow-Keras☆37Updated last year