iamsoroush / EncodersLinks
Encoders for turning real-valued data into spike trains.
☆12Updated 5 years ago
Alternatives and similar repositories for Encoders
Users that are interested in Encoders are comparing it to the libraries listed below
Sorting:
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆136Updated 4 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 8 years ago
- ☆70Updated 4 years ago
- ☆358Updated 3 years ago
- a spiking neural network module, tempotron for classification☆17Updated 5 years ago
- spiking-neural-networks☆38Updated 4 months ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆84Updated 2 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆35Updated 7 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Updated last year
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 5 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆171Updated 6 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 5 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Updated 4 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆133Updated 8 years ago
- Spiking Convolutional Neural Networks☆69Updated 7 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆25Updated 3 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated 2 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Updated 8 years ago
- Basic SNN propogating spikes between LIF neurons☆87Updated 7 years ago
- Spatio-temporal BP for SNNs☆237Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆30Updated 5 years ago
- ☆42Updated 6 years ago
- ☆258Updated 4 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆18Updated 2 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- Spiking 🧠 and artificial 🤖 RNN solutions to Speech Commands Dataset 🗣️ in TensorFlow☆13Updated 5 years ago