The Mechanism of Motion Direction Detection Based on Hassenstein-Reichardt Model

Chenyang Yan, Yuki Todo, Zheng Tang
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引用次数: 2

Abstract

Motion direction detection is an important part of the visual system. In the past few decades, research on the directional selectivity of motion detection is of great progress. However, they are all concentrated on the cellular level and lack a full understanding in systemic level. To understand motion direction detection, we present a novel motion detection mechanism using the Hassenstein-Reichardt (HR) model. We mimic a subunit of the HR model, propose a local motion direction detective neuron which can detect a specific direction of motion by performing a multiplication operation on one photoreceptor input with a fixed temporal delay and its adjacent photoreceptor input without delay. The proposed neuron can be extended to a two-dimensional vision, for ease of understanding, 8 neurons are implemented in detecting 8 directions of motion. Furthermore, we assume that each photoreceptor in the receptive field has its own local motion direction detective neurons and therefore we can obtain the global motion direction by accumulating the number of activations of all local motion direction detective neurons. The computer simulations have validated that the mechanism we proposed is reliable. We believe it may provide a strong support in understanding motion direction detection and other more complex processing in the visual system.
基于Hassenstein-Reichardt模型的运动方向检测机制
运动方向检测是视觉系统的重要组成部分。近几十年来,运动检测的方向选择性研究取得了很大进展。然而,它们都集中在细胞层面,缺乏对系统层面的充分认识。为了理解运动方向检测,我们提出了一种基于Hassenstein-Reichardt (HR)模型的运动检测机制。我们模拟了HR模型的一个亚单元,提出了一个局部运动方向检测神经元,它可以通过对一个具有固定时间延迟的光感受器输入和相邻的无延迟的光感受器输入执行乘法运算来检测特定的运动方向。所提出的神经元可以扩展到二维视觉,为了便于理解,实现了8个神经元来检测8个运动方向。此外,我们假设接受野中的每个光感受器都有自己的局部运动方向检测神经元,因此我们可以通过累积所有局部运动方向检测神经元的激活数量来获得全局运动方向。计算机仿真验证了所提出的机制是可靠的。我们相信它可以为理解运动方向检测和其他更复杂的视觉系统处理提供强有力的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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