In this paper, we successfully apply a novel Spiking Neural Network (SNN) to process legged robots, achieving outstanding results across a range of simulated terrains. SNN holds a natural advantage over traditional neural networks in terms of inference speed and energy consumption, and their pulse-...
Fully Spiking Neural Network for Legged Robots 来自 arXiv.org 喜欢 0 阅读量: 1 作者:X Jiang,Q Zhang,J Sun,J Cao,J Ma,R Xu 摘要: Recent advancements in legged robots using deep reinforcement learning have led to significant progress. Quadruped robots can perform complex tasks in challenging...
M. Spiking Neuron Models: Single Neurons, Populations, Plasticity. (Cambridge University Press, 2002). Hochreiter, S. & Schmidhuber, J. Long short-term memory. Neural Comput. 9, 1735–1780 (1997). Article Google Scholar Tsuruoka, T. et al. Effects of Moisture on the Switching ...
Spiking neural networksThis paper presents a concept of a non-fully-connected spiking network capable of solving a classification task by means of the local bio-inspired learning rule of Spike-Timing-Dependent Plasticity...doi:10.1007/978-3-030-33491-8_27A. SboevR...
Fully Memristive Spiking-Neuron Learning Framework and Its Applications on Pattern Recognition and Edge DetectionFully memristive spiking-neuronFeedforward neural networkPattern recognitionCellular neural networkEdge detectionFully memristive neuron learning framework, which uses drift and diffusion memristor models...
Spiking GAN(Kotariya和Ganguly,2021)利用浅层SNN构建了一个生成器和鉴别器,并通过对抗性学习生成手写数字图像。然而,它的生成质量很低,并且生成了一些不希望的图像,这些图像不能被解释为数字。在(Skatchkovsky、Simeone和Jang,2021)中,SNN用作编码器,ANN用作解码器,以构建VAE(Kingma和Welling,2014);然而,他们...
Specifically, we train a spiking neural network that accepts high-dimensional raw event-based camera data and outputs low-level control actions for performing autonomous vision-based flight. The vision part of the network, consisting of five layers and 28.8k neurons, maps incoming raw events to ...
Here, for the first time, we process a live DVS event stream using TrueNorth, a natively event-based processor with 1 million spiking neurons. Configured here as a convolutional neural network (CNN), the TrueNorth chip identifies the onset of a gesture with a latency of 105 ms while ...
Historically, neural network activity has been an important topic of investigation23. Hebb’s foundational idea of cell assemblies, which aimed to link physiology and function24, have often been investigated by searching for repeated patterns of spiking. Typically, these cell assemblies are investigated...
“We don’t know how to design things with that resilience,” hetoldZDNet UK. His team will use the chips as part of its SpiNNaker project (a stylistically spelled “abbreviation” of Spiking Neural Network architecture), which, according tothe project’s site, uses “massive parallelism and...