Artificial neural networks have been used as a powerful processing tool in various areas
such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has …

As a new brain-inspired computational model of the artificial neural network, a spiking
neural network encodes and processes neural information through precisely timed spike …

Applications that generate huge amounts of data in the form of fast streams are becoming
increasingly prevalent, being therefore necessary to learn in an online manner. These …

Recently, WaveNet has become a popular choice of neural network to synthesize speech
audio. Autoregressive WaveNet is capable of producing high-fidelity audio, but is too slow …

Accurate real-time object recognition from sensory data has long been a crucial and
challenging task for autonomous driving. Even though deep neural networks (DNNs) have …

Artificial Intelligence (AI) has become very popular due to both the increasing demands from
applications and the booming of computer techniques. Spiking Neural Network (SNN), as …

Throughout the central nervous system (CNS), the information communicated between
neurons is mainly implemented by the action potentials (or spikes). Although the spike …

Ischemic stroke is one of the most common cerebrovascular conditions, and constitutes a
significant portion of global mortality rates. Early diagnoses are vital for successful …

Abstract Modern Artificial Neural networks (ANNs) like Convolutional Neural Network (CNN),
have found broad applications in real-world cognitive tasks. One challenging faced by these …

An important aim of psycholinguistics is to understand how different aspects of language are
implemented in the brain. These processes, including comprehension, production, and …