colinator / spikeflowLinks
Python library for easy creation and running of spiking neural networks in tensorflow.
☆31Updated 6 years ago
Alternatives and similar repositories for spikeflow
Users that are interested in spikeflow are comparing it to the libraries listed below
Sorting:
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 years ago
- A Python package for simulator-independent specification of neuronal network models.☆297Updated last month
- ☆96Updated last year
- ☆71Updated 10 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆60Updated 2 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆70Updated 6 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆104Updated 7 months ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 4 years ago
- ☆143Updated 4 years ago
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Brian 2 frontend to the GeNN simulator☆48Updated this week
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆168Updated 6 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Updated 11 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
- The SpiNNaker implementation of the PyNN neural networking language☆113Updated this week
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆51Updated 3 weeks ago
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆48Updated 5 years ago
- ☆354Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆270Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆339Updated last year
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Liquid State Machines in Python and NEST☆74Updated 4 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