App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 9

Visual mislocalization perception neural network with saccadic suppression via receptive field remapping

Kang Mengdia,b
Qin Jina,b
Hu Bina,b
a. College of Computer Science and Technology, b. Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, Guizhou University, Guiyang Guizhou 550025, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0022

Abstract

Neurophysiological research shows that saccadic suppression in mammalian visual systems inhibits retinal signal slippage and thus counteracts the abnormal representation of luminance signals in retinal neuropiles. Inspired by this biological neural mechanism, this paper proposes an artificial vision system, called the Visual Mislocalization Perception Neural Network (VMPNN) , to detect visual mislocalization anomalies, a type of quality defect in video signal preprocessing. The proposed system includes two components: presynaptic and postsynaptic subnetworks. The presynaptic subnetwork captures low-order motion cues through receptive field remapping. The postsynaptic subnetwork then extracts motion frequency features, suppresses abrupt changes in visual signals within the neighborhood of the saccadic suppression receptive field, and outputs clusters of neural membrane potentials. This process reflects signal sensitivity to mislocalization anomalies in the field of view. Experimental results show that VMPNN generates strong neural responses to sudden mislocalization of foreground objects against the background. This work provides insights for visual information processing tasks such as tracking, navigation, robotics, and virtual reality in computer vision and artificial intelligence.

Foundation Support

国家自然科学基金资助项目(62066006)
贵州省自然科学基金资助项目(黔科合基础[2020]1Y261)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0022
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 9

Publish History

[2026-05-26] Accepted Paper

Cite This Article

康梦迪, 秦进, 胡滨. 扫视抑制感受野重映射的视觉错位感知神经网络 [J]. 计算机应用研究, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0022. (Kang Mengdi, Qin Jin, Hu Bin. Visual mislocalization perception neural network with saccadic suppression via receptive field remapping [J]. Application Research of Computers, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0022. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)