摘要人工智能学科诞生以来, 实现人类水平的智能系统便是本学科探索的长期目标.
然而经历了近60 年的发展, 目前还没有任何一个通用智能系统能够接近人类水平 …

Current artificial intelligence (AI) models often focus on enhancing performance through
meticulous parameter tuning and optimization techniques. However, the fundamental design …

脑科学和类脑智能技术是两个重要的前沿科技领域; 二者相互借鉴, 相互融合的发展是近年来
国际科学界涌现的新趋势. 脑科学研究对大脑认知神经原理的认识, 提升了人类对自身的理解和 …

The fog server in a fog computing paradigm extends cloud services to latency-sensitive
tasks by employing fog nodes (FNs) near user devices. The resource-constrained FNs face …

In order to reveal the dynamics of brain network, we proposed a new research method
based on the Hindmarsh–Rose model. In the method, a neural network model was …

The success of brain–machine interfaces (BMI) is enabled by the remarkable ability of the
brain to incorporate the artificial neuroprosthetic 'tool'into its own cognitive space and use it …

In this article, we aim to improve the performance of synthetic aperture radar (SAR) ship
detection under complex conditions. The complex backgrounds are commonly encountered …

We present a novel class of actor-critic algorithms for actors consisting of sets of interacting
modules. We present, analyze theoretically, and empirically evaluate an update rule for …

The retinal impulse signal is the basic carrier of visual information. It records the distribution
of light on the retina. However, its direct conversion to a scene image is difficult due to the …

Dopaminergic neuron activity has been modeled during learning and appetitive behavior,
most commonly using the temporal-difference (TD) algorithm. However, a proper …