Modelling Predictive Information of Stochastic Dynamics in the Retina

Min Yan, Yiko Chen, C. K. Chan, K. Y.Michael Wong

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Many experiments showed that the retina processes information before transmitting them to the visual cortex. We propose a model to elucidate the predictive effect of the amacrine cells and ganglion cells in the retina. We generate the input signals with OU (Ornstein-Uhlenbeck) and HMM (Hidden Markov model) process, and compare the mutual information calculated from the simulations with those of the moving bar experiments on bullfrog retina mounted on a multi-electrode array, illustrating that the model agrees with the experiments.

原文???core.languages.en_GB???
主出版物標題Neural Information Processing - 25th International Conference, ICONIP 2018, Proceedings
編輯Seiichi Ozawa, Andrew Chi Sing Leung, Long Cheng
發行者Springer Verlag
頁面246-257
頁數12
ISBN(列印)9783030042387
DOIs
出版狀態已出版 - 2018
事件25th International Conference on Neural Information Processing, ICONIP 2018 - Siem Reap, Cambodia
持續時間: 13 12月 201816 12月 2018

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11307 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???25th International Conference on Neural Information Processing, ICONIP 2018
國家/地區Cambodia
城市Siem Reap
期間13/12/1816/12/18

指紋

深入研究「Modelling Predictive Information of Stochastic Dynamics in the Retina」主題。共同形成了獨特的指紋。

引用此