The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
고정하는 동안 눈은 지속적으로 변동합니다. 이러한 변동을 고정 안구 운동이라고 합니다. 고정 안구 운동은 떨림, 미세 단속적 움직임, 안구 표류로 구성됩니다. 고정 안구 운동은 공간적, 시간적 특성을 형성함으로써 우리의 시력을 돕습니다. 여기서, 망막 네트워크의 첫 번째 입력 레이어인 광수용체는 원뿔 모자이크(cone mosaic)라고 불리는 공간적으로 불균일한 세포 배열을 갖는 것으로 알려져 있습니다. 고정 안구 운동의 역할은 점차 밝혀지고 있습니다. 그러나 원뿔 모자이크의 효과는 고려되지 않습니다. 여기서 우리는 고정 안구 운동과 관련된 시각 신호 처리에 대한 원뿔 모자이크의 효과를 탐색하기 위해 대규모 시각 시스템 모델을 구축했습니다. 시각 시스템 모델은 뇌간, 눈 광학 및 광수용기로 구성되었습니다. 시뮬레이션에서 우리는 공간적으로 불균일한 모자이크가 주어진 광수용체에 의한 희소 샘플링을 통한 신호 처리에 대한 고정 안구 운동의 역할에 중점을 두었습니다. 고정 안구 운동의 효과를 정량적으로 분석하기 위해 모의 광수용체 반응에서 정보 처리 능력을 정보율로 평가했습니다. 고정 안구 움직임에 따라 원뿔 모자이크로 인한 희소 샘플링에 의한 정보 비율이 증가함을 확인했습니다. 또한 정보율의 증가는 객체의 가장자리에 대한 응답의 증가에 따른 것임을 확인하였다. 이러한 결과는 고정 안구 운동에 의해 시각 정보가 광수용체 수준에서 이미 향상되었음을 시사합니다.
Keiichiro INAGAKI
Chubu University,RIKEN Brain science institute
Takayuki KANNON
RIKEN Brain science institute,Kanazawa University
Yoshimi KAMIYAMA
Aichi Prefectural University
Shiro USUI
RIKEN Brain science institute
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부
Keiichiro INAGAKI, Takayuki KANNON, Yoshimi KAMIYAMA, Shiro USUI, "Effect of Fixational Eye Movement on Signal Processing of Retinal Photoreceptor: A Computational Study" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 7, pp. 1753-1759, July 2020, doi: 10.1587/transinf.2019EDP7225.
Abstract: The eyes are continuously fluctuating during fixation. These fluctuations are called fixational eye movements. Fixational eye movements consist of tremors, microsaccades, and ocular drifts. Fixational eye movements aid our vision by shaping spatial-temporal characteristics. Here, it is known that photoreceptors, the first input layer of the retinal network, have a spatially non-uniform cell alignment called the cone mosaic. The roles of fixational eye movements are being gradually uncovered; however, the effects of the cone mosaic are not considered. Here we constructed a large-scale visual system model to explore the effect of the cone mosaic on the visual signal processing associated with fixational eye movements. The visual system model consisted of a brainstem, eye optics, and photoreceptors. In the simulation, we focused on the roles of fixational eye movements on signal processing with sparse sampling by photoreceptors given their spatially non-uniform mosaic. To analyze quantitatively the effect of fixational eye movements, the capacity of information processing in the simulated photoreceptor responses was evaluated by information rate. We confirmed that the information rate by sparse sampling due to the cone mosaic was increased with fixational eye movements. We also confirmed that the increase of the information rate was derived from the increase of the responses for the edges of objects. These results suggest that visual information is already enhanced at the level of the photoreceptors by fixational eye movements.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDP7225/_p
부
@ARTICLE{e103-d_7_1753,
author={Keiichiro INAGAKI, Takayuki KANNON, Yoshimi KAMIYAMA, Shiro USUI, },
journal={IEICE TRANSACTIONS on Information},
title={Effect of Fixational Eye Movement on Signal Processing of Retinal Photoreceptor: A Computational Study},
year={2020},
volume={E103-D},
number={7},
pages={1753-1759},
abstract={The eyes are continuously fluctuating during fixation. These fluctuations are called fixational eye movements. Fixational eye movements consist of tremors, microsaccades, and ocular drifts. Fixational eye movements aid our vision by shaping spatial-temporal characteristics. Here, it is known that photoreceptors, the first input layer of the retinal network, have a spatially non-uniform cell alignment called the cone mosaic. The roles of fixational eye movements are being gradually uncovered; however, the effects of the cone mosaic are not considered. Here we constructed a large-scale visual system model to explore the effect of the cone mosaic on the visual signal processing associated with fixational eye movements. The visual system model consisted of a brainstem, eye optics, and photoreceptors. In the simulation, we focused on the roles of fixational eye movements on signal processing with sparse sampling by photoreceptors given their spatially non-uniform mosaic. To analyze quantitatively the effect of fixational eye movements, the capacity of information processing in the simulated photoreceptor responses was evaluated by information rate. We confirmed that the information rate by sparse sampling due to the cone mosaic was increased with fixational eye movements. We also confirmed that the increase of the information rate was derived from the increase of the responses for the edges of objects. These results suggest that visual information is already enhanced at the level of the photoreceptors by fixational eye movements.},
keywords={},
doi={10.1587/transinf.2019EDP7225},
ISSN={1745-1361},
month={July},}
부
TY - JOUR
TI - Effect of Fixational Eye Movement on Signal Processing of Retinal Photoreceptor: A Computational Study
T2 - IEICE TRANSACTIONS on Information
SP - 1753
EP - 1759
AU - Keiichiro INAGAKI
AU - Takayuki KANNON
AU - Yoshimi KAMIYAMA
AU - Shiro USUI
PY - 2020
DO - 10.1587/transinf.2019EDP7225
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2020
AB - The eyes are continuously fluctuating during fixation. These fluctuations are called fixational eye movements. Fixational eye movements consist of tremors, microsaccades, and ocular drifts. Fixational eye movements aid our vision by shaping spatial-temporal characteristics. Here, it is known that photoreceptors, the first input layer of the retinal network, have a spatially non-uniform cell alignment called the cone mosaic. The roles of fixational eye movements are being gradually uncovered; however, the effects of the cone mosaic are not considered. Here we constructed a large-scale visual system model to explore the effect of the cone mosaic on the visual signal processing associated with fixational eye movements. The visual system model consisted of a brainstem, eye optics, and photoreceptors. In the simulation, we focused on the roles of fixational eye movements on signal processing with sparse sampling by photoreceptors given their spatially non-uniform mosaic. To analyze quantitatively the effect of fixational eye movements, the capacity of information processing in the simulated photoreceptor responses was evaluated by information rate. We confirmed that the information rate by sparse sampling due to the cone mosaic was increased with fixational eye movements. We also confirmed that the increase of the information rate was derived from the increase of the responses for the edges of objects. These results suggest that visual information is already enhanced at the level of the photoreceptors by fixational eye movements.
ER -