Matthijspals / STSPLinks
A Nengo Implementation of Short-term Synaptic Plasticity (STSP) as proposed by Mongillo, Barak and Tsodyks (2008)
☆8Updated 5 years ago
Alternatives and similar repositories for STSP
Users that are interested in STSP are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated 6 months 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
- Brian 2 frontend to the GeNN simulator☆47Updated 9 months ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆14Updated 7 years ago
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- Code associated with the paper "Bicknell B.A. & Häusser M., (2021). A synaptic learning rule for exploiting nonlinear dendritic computati…☆8Updated 3 years ago
- Training spiking neural networks for sound localization☆67Updated 2 weeks ago
- The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this …☆15Updated 5 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 5 months ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Library helping to incorporate biological constraints into Nengo networks☆13Updated 3 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 11 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆31Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Deep learning integration for Nengo☆90Updated 3 months ago
- A differentiable spiking neural network simulator☆22Updated 4 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆40Updated this week
- ☆31Updated 5 months ago
- A reservoir computing toolbox for neuroscientists☆102Updated 6 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆49Updated 3 weeks ago
- Python-module for calculation of extracellular potentials from multicompartment neuron models and networks☆80Updated 5 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆33Updated last week
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆52Updated 3 years ago
- Tutorial codes for modeling brains with neural nets☆227Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago