The Mechanism of Orientation Detection Based on Dendritic Neuron

Xiliang Zhang, Yuki Todo, Cheng Tang, Zheng Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The research on orientation recognition of visual systems is of great significance to improve our understanding of biological vision and the human brain. However, the mechanism of orientation recognition in the visual system is still unknown. In this research, we propose a new mechanism to detect the orientation of the object. The orientation detection ganglion neuron is applied to infer the global detection according to the local information. This mechanism is simulated by a dendritic neuron model and a series of experiments are conducted to verify the effectiveness. The experimental results show the ability of this mechanism to detect the orientation of an object regardless of the size and position, which is consistent with most known physiological experimental results.

Original languageEnglish
Title of host publication2021 IEEE 4th International Conference on Big Data and Artificial Intelligence, BDAI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages225-229
Number of pages5
ISBN (Electronic)9781665412704
DOIs
StatePublished - 2021/07/02
Event2021 IEEE 4th International Conference on Big Data and Artificial Intelligence, BDAI 2021 - Qingdao, China
Duration: 2021/07/022021/07/04

Publication series

Name2021 IEEE 4th International Conference on Big Data and Artificial Intelligence, BDAI 2021

Conference

Conference2021 IEEE 4th International Conference on Big Data and Artificial Intelligence, BDAI 2021
Country/TerritoryChina
CityQingdao
Period2021/07/022021/07/04

Keywords

  • dendritic neural model
  • neural network
  • orientation detection
  • visual mechanism

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems and Management
  • Artificial Intelligence

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