In previous experimental studies on vertebrates, high level processes of vision such as object segregation and spatiooral pattern adaptation were found to begin at retinal stage. In those visual functions, diverse subtypes of amacrine cells are believed to play essential roles by processing the excitatory and inhibitory signals laterally over a wide region on the retina to shape the ganglion cell responses. Previously, a simple "linear-nonlinear" model was proposed to explain a specific function of the retina, and could capture the spiking behavior of retinal output, although each class of the retinal neurons were largely omitted in it. Here, we present a spatiooral computational model based on the response function for each class of the retinal neurons and the anatomical intercellular connections. This model is not only capable of reproducing filtering properties of outer retina but also realizes high-order inner retinal functions such as object segregation mechanism via wide-field amacrine cells. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Saglam, M., Hayashida, Y., & Murayama, N. (2008). A retinal circuit model accounting for functions of amacrine cells. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4984 LNCS, pp. 1–6). https://doi.org/10.1007/978-3-540-69158-7_1
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