Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
308-312

Research on character image reconstruction under different color backgrounds based on neuron spike signals in pigeon optic tectum

Wang Zhizhonga
Yan Wenmingb
Wang Songweia
a. School of Electrical Engineering, b. Industrial Technology Research Institute, Zhengzhou University, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0489

Abstract

It is an important scientific problem to analyze visual information represented by action potentials(spike) of brain neurons. Reconstruction of visual stimuli by spike signals is an important approach to solve this problem. This paper provided a method to reconstruct visual stimuli from spike signals of neurons. This experiment adopted five kinds of character images under four color backgrounds to stimulate the pigeons, and then extracted the firing rate characteristics of spike signals from the optic tectum(OT) neurons. And this experiment constructed a linear inverse filter and a random forest reconstruction model and optimized the model parameters to reconstruct characters images under different color backgrounds. And this paper analyzed the effect of background color on reconstruction results. The results show that under optimal parameter, the average reconstruction accuracy of character images in white, red, green and blue backgrounds using the linear inverse filter model is 0.9225±0.0268, 0.9027±0.0204, 0.9358±0.0235, and the average reconstruction accuracy of character images using the random forest model is 0.9499±0.0255, 0.9228±0.0303, 0.9472±0.0239, and 0.7913±0.0255. The analysis of variance shows that there is no significant difference in the image reconstruction results of white, red, and green backgrounds, but the image reconstruction results of the three colors backgrounds are significantly different from the reconstruction results of the blue background image.

Foundation Support

国家自然科学基金资助项目(61673353)
国家自然科学基金青年科学基金资助项目(61603344)
河南省高等教育重点研究项目(15A120017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0489
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Technology of Graphic & Image
Pages: 308-312
Serial Number: 1001-3695(2020)01-066-0308-05

Publish History

[2020-01-05] Printed Article

Cite This Article

王治忠, 闫文明, 王松伟. 基于鸽子视顶盖神经元响应对不同颜色背景字符图像的重建研究 [J]. 计算机应用研究, 2020, 37 (1): 308-312. (Wang Zhizhong, Yan Wenming, Wang Songwei. Research on character image reconstruction under different color backgrounds based on neuron spike signals in pigeon optic tectum [J]. Application Research of Computers, 2020, 37 (1): 308-312. )

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)