An Artificial Visual System for Three Dimensional Motion Direction Detection

For mammals, enormous amounts of visual information are processed by neurons of the visual nervous system. The research of the direction selectivity is of great significance and local direction-selective ganglion neurons have been discovered. However, research is still at the one dimensional level a...

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Main Authors: Mianzhe Han, Yuki Todo, Zheng Tang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/24/4161
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author Mianzhe Han
Yuki Todo
Zheng Tang
author_facet Mianzhe Han
Yuki Todo
Zheng Tang
author_sort Mianzhe Han
collection DOAJ
description For mammals, enormous amounts of visual information are processed by neurons of the visual nervous system. The research of the direction selectivity is of great significance and local direction-selective ganglion neurons have been discovered. However, research is still at the one dimensional level and concentrated on a single cell. It remains challenging to explain the function and mechanism of the overall motion direction detection. In our previous papers, we have proposed a motion direction detection mechanism on the two dimensional level to solve these problems. The previous studies did not take into account that the information in the left and right retina is different and cannot be used to detect the three dimensional motion direction. Further effort is required to develop a more realistic system in three dimensions. In this paper, we propose a new three-dimensional artificial visual system to extend motion direction detection mechanism into three dimensions. We assumed that a neuron could detect the local motion of a single voxel object within three dimensional space. We also took into consideration that the information of the left and right retinas is different. Based on this binocular disparity, a realistic motion direction mechanism for three dimensions was established: the neurons received signals from the primary visual cortex of each eye and responded to motion in specific directions. There are a series of local direction-selective ganglion neurons arrayed on the retina by a logical AND operation. The response of each local direction detection neuron will be further integrated by the next neural layer to obtain the global motion direction. We carry out several computer simulations to demonstrate the validity of the mechanism. It shows that the proposed mechanism is capable of detecting the motion of complex three dimensional objects, which is consistent with most known physiological experimental results.
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spelling doaj.art-eed738b3638c493fb1059db9fcb4fc872023-11-24T14:31:22ZengMDPI AGElectronics2079-92922022-12-011124416110.3390/electronics11244161An Artificial Visual System for Three Dimensional Motion Direction DetectionMianzhe Han0Yuki Todo1Zheng Tang2Faculty of Electrical and Computer Engineering, Kanazawa University, Kakuma-Machi, Kanazawa 920-1192, JapanDepartment of Intelligence Information Systems, University of Toyama, 3190 Gofuku, Toyama 930-8555, JapanDepartment of Intelligence Information Systems, University of Toyama, 3190 Gofuku, Toyama 930-8555, JapanFor mammals, enormous amounts of visual information are processed by neurons of the visual nervous system. The research of the direction selectivity is of great significance and local direction-selective ganglion neurons have been discovered. However, research is still at the one dimensional level and concentrated on a single cell. It remains challenging to explain the function and mechanism of the overall motion direction detection. In our previous papers, we have proposed a motion direction detection mechanism on the two dimensional level to solve these problems. The previous studies did not take into account that the information in the left and right retina is different and cannot be used to detect the three dimensional motion direction. Further effort is required to develop a more realistic system in three dimensions. In this paper, we propose a new three-dimensional artificial visual system to extend motion direction detection mechanism into three dimensions. We assumed that a neuron could detect the local motion of a single voxel object within three dimensional space. We also took into consideration that the information of the left and right retinas is different. Based on this binocular disparity, a realistic motion direction mechanism for three dimensions was established: the neurons received signals from the primary visual cortex of each eye and responded to motion in specific directions. There are a series of local direction-selective ganglion neurons arrayed on the retina by a logical AND operation. The response of each local direction detection neuron will be further integrated by the next neural layer to obtain the global motion direction. We carry out several computer simulations to demonstrate the validity of the mechanism. It shows that the proposed mechanism is capable of detecting the motion of complex three dimensional objects, which is consistent with most known physiological experimental results.https://www.mdpi.com/2079-9292/11/24/4161direction-selectivityganglion cellsmechanismneuronexcitatoryvisual system
spellingShingle Mianzhe Han
Yuki Todo
Zheng Tang
An Artificial Visual System for Three Dimensional Motion Direction Detection
Electronics
direction-selectivity
ganglion cells
mechanism
neuron
excitatory
visual system
title An Artificial Visual System for Three Dimensional Motion Direction Detection
title_full An Artificial Visual System for Three Dimensional Motion Direction Detection
title_fullStr An Artificial Visual System for Three Dimensional Motion Direction Detection
title_full_unstemmed An Artificial Visual System for Three Dimensional Motion Direction Detection
title_short An Artificial Visual System for Three Dimensional Motion Direction Detection
title_sort artificial visual system for three dimensional motion direction detection
topic direction-selectivity
ganglion cells
mechanism
neuron
excitatory
visual system
url https://www.mdpi.com/2079-9292/11/24/4161
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