chrhenning / snn_global_pattern_induction
Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a global feedback mechanism to support strong, contrasty pattern formation.
☆14Updated 6 years ago
Alternatives and similar repositories for snn_global_pattern_induction:
Users that are interested in snn_global_pattern_induction are comparing it to the libraries listed below
- spiking-neural-networks☆36Updated 2 months ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 11 years ago
- ☆29Updated 2 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this …☆13Updated 5 years ago
- 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
- Brian 2 frontend to the GeNN simulator☆46Updated 6 months ago
- Data encoders☆32Updated 4 years ago
- Spiking Convolutional Neural Networks☆67Updated 6 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- A Spiking Neural Network encoder for time series data☆21Updated 3 years ago
- A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).☆10Updated 10 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 2 months ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆68Updated 6 years 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
- a spiking neural network module, tempotron for classification☆18Updated 4 years ago
- ☆89Updated last year
- ☆37Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 11 months ago
- ☆37Updated 4 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- A Nengo Implementation of Short-term Synaptic Plasticity (STSP) as proposed by Mongillo, Barak and Tsodyks (2008)☆8Updated 4 years ago
- Liquid State Machines in Python and NEST☆70Updated 4 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- ☆69Updated 3 years ago
- Some of my initial studies using spiking neural networks and Python☆36Updated 3 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 4 years ago
- A spiking neural network based on the LIF neuron model to detect genre of given song☆23Updated 7 years ago