@inproceedings{44ecad71914645ddb6eb3637209e9235,
title = "Effects of Contrast on the Anticipatory Dynamics of a Retina",
abstract = "The retinal network is a natural computational system with the ability to perform multiple tasks concurrently, including generating anticipatory responses to predictable stimuli. To study the effects of signal contrast on retinal anticipatory responses, experiments are conducted on bullfrog retinas using a multi-electrode array (MEA) system. The method of time lag mutual information (TLMI) between the retinal responses and the stimulation is used to assess the retina's anticipatory capabilities. Results indicate that higher contrast stimulation generally yields better anticipation and higher information transfer. However, some channels only exhibit anticipatory behavior when the contrast is sufficiently high. This finding implies that performing anticipatory tasks, such as playing badminton, may be more challenging in low-contrast visual environments. The observation of the Weber-Fechner law through TLMI suggests that the amount of information transferred could serve as a measure of our visual perception (sensation) of the external physical world.",
author = "Lin, {Qi Rong} and Chen, {Kuan Hao} and Chou, {Po Yu} and Chan, {C. K.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2023 ; Conference date: 29-07-2023 Through 31-07-2023",
year = "2023",
doi = "10.1109/ICNC-FSKD59587.2023.10280918",
language = "???core.languages.en_GB???",
series = "ICNC-FSKD 2023 - 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Liang Zhao and Guanglu Sun and Kenli Li and Zheng Xiao and Lipo Wang",
booktitle = "ICNC-FSKD 2023 - 2023 19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
}