Editorial: Neuroscience-driven visual representation

Teng Li; Qieshi Zhang; Fudong Nian; Caifeng Shan

doi:10.3389/fnins.2023.1345688

Editorial: Neuroscience-driven visual representation

Front Neurosci. 2023 Dec 19:17:1345688. doi: 10.3389/fnins.2023.1345688. eCollection 2023.

Authors

Teng Li^{1

2}, Qieshi Zhang³, Fudong Nian⁴, Caifeng Shan^{5

6}

Affiliations

¹ Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China.
² Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China.
³ Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, Guangdong, China.
⁴ School of Advanced Manufacturing Engineering, Hefei University, Hefei, Anhui, China.
⁵ College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.
⁶ School of Intelligence Science and Technology, Nanjing University, Nanjing, China.

No abstract available

Keywords: computer vision; deep neural networks; learning; neuroscience; visual representation.

Publication types

Editorial

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work is supported by the University Synergy Innovation Program of Anhui Province (No. GXXT-2022-037).