Spiking Convolutional Neural Networks
☆69Dec 7, 2018Updated 7 years ago
Alternatives and similar repositories for Spiking-CNN
Users that are interested in Spiking-CNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Sep 15, 2020Updated 5 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Feb 6, 2018Updated 8 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Sep 7, 2021Updated 4 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆134Jun 6, 2017Updated 8 years ago
- spiking-neural-networks☆38Oct 4, 2025Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Aug 2, 2017Updated 8 years ago
- Spiking CNN for object recognition☆12Apr 26, 2017Updated 8 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Dec 24, 2022Updated 3 years ago
- ☆364Mar 3, 2022Updated 4 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Jun 10, 2019Updated 6 years ago
- Event-Driven CD in Spiking Neural Networks☆20Mar 17, 2016Updated 10 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆171Jun 10, 2019Updated 6 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18May 9, 2019Updated 6 years ago
- Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.☆12Feb 10, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Apr 4, 2021Updated 4 years ago
- Matlab code for a Spiking Neural Network for Visual Motion Estimation☆25Jun 14, 2019Updated 6 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆139Oct 22, 2020Updated 5 years ago
- Some of my initial studies using spiking neural networks and Python☆38Mar 3, 2022Updated 4 years ago
- ☆32Jan 15, 2019Updated 7 years ago
- An object detection model for NMNIST larger video frame☆12Feb 24, 2022Updated 4 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…☆276Nov 6, 2022Updated 3 years ago
- A series of simulations organized as homework assignments that were part of the course on Neuromorphic Engineering at IIT Bombay (course …☆10Jul 19, 2016Updated 9 years ago
- The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation☆12Nov 23, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Pure python implementation of SNN☆1,181Jul 29, 2022Updated 3 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Nov 24, 2019Updated 6 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 8 years ago
- Differentiate notes using a spiking neural network☆49Nov 29, 2021Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,662Updated this week
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Aug 20, 2021Updated 4 years ago
- Event-based deep belief network offline training algorithm☆22May 29, 2014Updated 11 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆15Apr 12, 2023Updated 2 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆31Dec 17, 2020Updated 5 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆324May 30, 2025Updated 9 months ago
- A spiking net simulator implemented in Tensorflow 2.0 with plastic synaptic delays and weights.☆38May 20, 2019Updated 6 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Aug 7, 2019Updated 6 years ago
- Original DVS128 Gesture Dataset in PyTorch☆13Jun 6, 2023Updated 2 years ago
- ☆256May 8, 2021Updated 4 years ago
- ☆34Mar 21, 2020Updated 6 years ago