Devrim-Celik / interactive_neuron_model_simulator
Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...
☆69Updated 6 years ago
Alternatives and similar repositories for interactive_neuron_model_simulator
Users that are interested in interactive_neuron_model_simulator are comparing it to the libraries listed below
Sorting:
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated last week
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 4 months ago
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- ☆90Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆314Updated 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
- Brian 2 frontend to the GeNN simulator☆47Updated 8 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆40Updated 4 months ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆65Updated last week
- 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
- spiking-neural-networks☆37Updated 3 months ago
- A differentiable spiking neural network simulator☆21Updated 3 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated this week
- Coding projects by the community for the community☆19Updated 3 weeks ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 7 years ago
- ☆22Updated last year
- Code associated with the paper "Bicknell B.A. & Häusser M., (2021). A synaptic learning rule for exploiting nonlinear dendritic computati…☆8Updated 3 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆40Updated 3 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 10 months ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 4 months 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
- ☆30Updated 4 months ago
- A reservoir computing toolbox for neuroscientists☆97Updated 4 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year