Spiking Neural Networks (SNNs) have shown favorable performance ... In this section, we will introduce the network architecture (including neuron model and network structure) and the learning process ...

Abstract: Neuromorphic computing is concerned with designing computer architectures inspired by the brain, with recent work focusing on platforms to efficiently execute large spiking neural networks ...

we construct our spiking Q networks as same as the DQN architecture shown in Figure 2. Three-layers spiking convolution neural networks process raw game screen images from gym Atari simulation to ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

In today’s fast-evolving landscape of artificial intelligence, Aditya Singh, a researcher specializing in distributed ...

A method for genetically barcoding Drosophila is developed and used to tag defined cell populations in vivo for single-cell transcriptomics experiments and to enable multiplexed behavioral analysis.

A new platform for studying neuroinflammatory diseases, utilizing advanced 3D bioprinting technology has been developed.

He scored the most clutch of touchdowns in the fourth quarter with a run into the end zone and then completely botched the spike of the football. It was ridiculously bad. PATRICK MAHOMES CALLED ...

Abstract: Recently, spiking neural networks (SNNs) have demonstrated substantial potential in computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network, called ESDNet.