IEEE Circuits and Systems Magazine - Q4 2020 - 2

Features (continued)

	65	

Editor-in-Chief
Yiran Chen
Duke University, USA
Email: yiran.chen@duke.edu

Rethinking Motivation of Deep
Neural Architectures
Weilin Luo, Jinhu LÃ¼, Xuerong Li, Lei Chen, and Kexin Liu

Nowadays, deep neural architectures have acquired great achievements
in many domains, such as image processing and natural language processing. In this paper, we hope to provide new perspectives for the future
exploration of novel artificial neural architectures via reviewing the proposal and development of existing architectures. We first roughly divide
the influence domain of intrinsic motivations on some common deep
neural architectures into three categories: information processing, information transmission and learning strategy. Furthermore, to illustrate how
deep neural architectures are motivated and developed, motivation and
architecture details of three deep neural networks, namely convolutional
neural network (CNN), recurrent neural network (RNN) and generative
adversarial network (GAN), are introduced respectively. Moreover, the
evolution of these neural architectures are also elaborated in this paper.
At last, this review is concluded and several promising research topics
about deep neural architectures in the future are discussed.

Departments
4		Interview
CAS Society News
78		

Deputy Editor-in-Chief
Leibo Liu
Tsinghua University, China

Associate Editors
Jie Han
University of Alberta, Canada
Chih-Cheng Hsieh
National Tsing Hua University, Taiwan
Chris Kim
University of Minnesota, USA
Mahesh Mehendale
Texas Instruments, USA
Nele Mentens
Katholieke Universiteit Leuven, Belgium
Marvin Onabajo
Northeastern University, USA
Jongsun Park
Korea University
Qinru Qiu
Syracuse University, USA
Chao Wang
Huazhong University of Science and Technology, China
Wujie Wen
Lehigh University, USA
Shigeru Yamashita
Ritsumeikan University, Japan
Xuan Zhang
Washington University in St. Louis, USA

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Magazine must be received by the Editor on
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Scope: The magazine covers the subject areas represented by the Society's transactions,
including: analog, passive, switch capacitor, and digital filters; electronic circuits, networks,
graph theory, and RF communication circuits; system theory; discrete, IC, and VLSI circuit
design; multidimensional circuits and systems; large-scale systems and power networks; nonlinear circuits and systems, wavelets, filter banks, and applications; neural networks; and signal
processing. Content also covers the areas represented by the Society technical committees:
analog signal processing, cellular neural networks and array computing, circuits and systems
for communications, computer-aided network design, digital signal processing, multimedia
systems and applications, neural systems and applications, nonlinear circuits and systems,
power systems and power electronics and circuits, sensors and micromaching, visual signal
processing and communication, and VLSI systems and applications. Lastly, the magazine covers the interests represented by the widespread conference activity of the IEEE Circuits and
Systems Society. In addition to the technical articles, the magazine also covers Society administrative activities, as for instance the meetings of the Board of Governors, Society People, as
for instance the stories of award winners-fellows, medalists, and so forth, and Places reached
by the Society, including readable reports from the Society's conferences around the world.

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