johannesmik / neuronsLinks
Python simulations of neuron models like SRM and STDP
☆35Updated 10 years ago
Alternatives and similar repositories for neurons
Users that are interested in neurons are comparing it to the libraries listed below
Sorting:
- ☆66Updated 3 years ago
- Reinforcement Learning for Spiking Neural Networks☆82Updated 11 months ago
- ☆348Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆129Updated 5 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆318Updated 2 months ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- spiking-neural-networks☆37Updated 6 months ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 6 years ago
- Python implementation of a tempotron classifier for the MNIST dataset.☆14Updated 6 years ago
- ☆71Updated 9 years ago
- Matlab code for a Spiking Neural Network for Visual Motion Estimation☆25Updated 6 years ago
- Python code for event based vision☆65Updated 5 years ago
- Event-based object recognition using analog and spiking neural networks☆8Updated 5 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆378Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 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
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- Python library for easy creation and running of spiking neural networks in tensorflow.☆31Updated 6 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 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 5 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
- Event-Based Angular Velocity Regression with Spiking Networks☆113Updated 3 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
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 11 years ago