Deep learningSpiking neural networkBiological plausibilityMachine learningPower-efficient architectureIn recent years, deep learning has revolutionized the field of machine learning, for computer vision in part
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia 2020, Neural Networks Citation Excerpt : The identification of AD state can also be carried out using recently developed architectures such as the Spiking Neural Network (SNN) based NeuCube,...
Since Spiking Neural Networks (SNNs) are inherently dynamic systems, they are particularly well-suited for addressing temporal problems, such as those encountered in reinforcement learning (RL). Several studies have leveraged SNNs for RL tasks. For instance, the authors in38,39,40applied Spike-Timin...
《Deep Residual Learning in Spiking Neural Networks》笔记 论文传送门: 2102.04159v3.pdf (arxiv.org)Abstract现有的Spiking ResNet都是参照ANN中的标准残差块,简单地把ReLu激活函数层换成spiking neurons,所以说会发生degradation的问题(深网络… weili...发表于SNN 《Sequential Recommendation with Graph Neural Net...
Keywords: neural networks, spiking neurons, neuromorphic engineering, event-based computing, deep learning, binary networks 1. INTRODUCTION 使用深度神经网络(DNN)进行训练和推理,通常称为深度学习(LeCun et al., 2015; Schmidhuber, 2015; Goodfellow et al., 2016),为人工智能(AI)的许多引人注目的成功案例...
Norse expands PyTorch with primitives for bio-inspired neural components, bringing you two advantages: a modern and proven infrastructure based on PyTorch and deep learning-compatible spiking neural network components. Documentation: norse.github.io/norse/ 1. Getting started The fastest way to try ...
Machine Learning Rehabilitation Robotics Robotic Engineering Robotics Social Robotics Artificial Intelligence Introduction Spiking Neural Networks (SNNs) are often regarded as the third generation of Artificial Neural Networks (ANNs) because their functionality closely resembles that of the mammalian brain compare...
Keywords:Spiking neural networks, Deep reinforcement learning, Energy-efficient continuous control 1 Introduction 具有连续高维观察和动作空间的移动机器人正越来越多地被部署来解决复杂的实际任务。鉴于其有限的主板能量资源,迫切需要设计节能解决方案来对这些自主机器人进行连续控制。基于策略梯度的深度强化学习(DRL)方法...
This repository contains the codes for the paper Deep Residual Learning in Spiking Neural Networks. We used a identical seed during training, and we can ensure that the user can get almost the same accuracy when using our codes to train....
Progress in Artificial Intelligence (2024) 13:1–15 https://doi.org/10.1007/s13748-024-00313-4 REGULAR PAPER A Deep Convolutional Spiking Neural Network for embedded applications Amirhossein Javanshir1 · Thanh Thi Nguyen2 · M. A. Parvez Mahmud3 · Abbas Z. Kouzani1 Received: 12 ...