Matthijspals / STSP
A Nengo Implementation of Short-term Synaptic Plasticity (STSP) as proposed by Mongillo, Barak and Tsodyks (2008)
☆8Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for STSP
- ☆36Updated 4 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆66Updated 5 years ago
- Brian 2 frontend to the GeNN simulator☆47Updated 2 months 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
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆26Updated 5 months ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆37Updated 11 months ago
- Library helping to incorporate biological constraints into Nengo networks☆12Updated 3 years ago
- Training spiking neural networks for sound localization☆62Updated last week
- Tools to process widefield data☆12Updated 3 years ago
- Cosyne workshop tutorial 2022☆107Updated 2 years ago
- Coding projects by the community for the community☆12Updated 2 weeks ago
- A brian2 extension to simulate spiking neural networks on GPUs☆61Updated 4 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆55Updated 6 years ago
- Exercises and examples for the latent dynamics workshop☆16Updated last year
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆81Updated last year
- ☆27Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆99Updated 4 years ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆13Updated 6 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆11Updated last year
- A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.☆15Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆49Updated 2 years ago
- The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this …☆13Updated 4 years ago
- Deep learning integration for Nengo☆88Updated 4 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆38Updated this week
- A reservoir computing toolbox for neuroscientists☆84Updated 3 months 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
- Tutorial for surrogate gradient learning in spiking neural networks☆291Updated 3 months ago
- A Loihi emulator based on Brian2☆24Updated 2 years ago
- Liquid State Machines in Python and NEST☆66Updated 4 years ago