ricardodeazambuja / SNN-Experiments
Some of my initial studies using spiking neural networks and Python
☆35Updated 2 years ago
Alternatives and similar repositories for SNN-Experiments:
Users that are interested in SNN-Experiments are comparing it to the libraries listed below
- Spiking Convolutional Neural Networks☆65Updated 6 years ago
- A series of simulations organized as homework assignments that were part of the course on Neuromorphic Engineering at IIT Bombay (course …☆10Updated 8 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 5 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 10 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆52Updated last year
- spiking-neural-networks☆36Updated last year
- Long short-term memory Spiking Neural Networks☆98Updated 4 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆157Updated 5 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 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
- a spiking neural network module, tempotron for classification☆15Updated 4 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 5 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆27Updated 2 years ago
- ☆32Updated 6 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- ☆35Updated 2 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 6 years ago
- ☆42Updated 5 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆122Updated 7 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Updated 7 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- Differentiate notes using a spiking neural network☆49Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 8 months ago
- ☆13Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).☆10Updated 9 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- ☆43Updated 2 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆31Updated 6 years ago