Deep neural networks with rate-based neurons have exhibited tremendous progress in the
last decade. However, the same level of progress has not been observed in research on …

A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

Working memory is a fundamental feature of biological brains for perception, cognition, and
learning. In addition, learning with working memory, which has been show in conventional …

Biological brains have a natural capacity for resolving certain classification tasks. Studies on
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …

Spike-based machine intelligence has recently attracted increasing research attention, and
has been considered as a promising approach towards artificial general intelligence (AGI). It …

As one of the important artificial intelligence fields, brain-like computing attempts to give
machines a higher intelligence level by studying and simulating the cognitive principles of …

Dropout and DropConnect are two techniques to facilitate the regularization of neural
network models, having achieved the state-of-the-art results in several benchmarks. In this …

This article presents a novel network, contribution-degree-based spiking neural network
(CDSNN), which combines ideas of spiking neural network (SNN) and fuzzy set theory. In …

Abstract The Biogeography-Based Optimization algorithm and its variants have been used
widely for optimization problems. To get better performance, a novel Biogeography-Based …

Blood pressure (BP) is one of the most important indicators of health. BP that is too high or
too low causes varying degrees of diseases, such as renal impairment, cerebrovascular …