h-betz / NeuralNetwork
Spiking Neural Network to identify spoken letters
☆8Updated 7 years ago
Alternatives and similar repositories for NeuralNetwork:
Users that are interested in NeuralNetwork are comparing it to the libraries listed below
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 5 years ago
- spiking-neural-networks☆36Updated last month
- ☆42Updated 5 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆17Updated 4 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆31Updated 4 years ago
- ☆33Updated 4 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 10 months ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆46Updated 4 years ago
- ☆13Updated 4 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 2 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 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
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Some of my initial studies using spiking neural networks and Python☆36Updated 3 years ago
- a spiking neural network module, tempotron for classification☆18Updated 4 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Updated 7 years ago
- Supervised Spiking Network☆79Updated 2 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- ☆45Updated 2 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
- Event-based object recognition using analog and spiking neural networks☆7Updated 5 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- ☆38Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago