Event Abstract Back to Event Computational modeling of the cone mosaic based on the anatomy and physiology of the vertebrate retina Hiroaki Kunisada1, Naomi Saito1 and Yoshimi Kamiyama1* 1 Information Science and Technology, Aichi Prefectural University, Japan The retina converts the light into action potentials which are carried by the optic nerve to the brain. The anatomy and physiology of the retina are relatively well known. Anatomical studies have revealed the morphological principles governing the structure of the retina such as the layered structure and the spatial arrangement of the photoreceptors. Physiological studies of the retina have uncovered a number of cellular and subcellular mechanisms such as phototransduction and the characteristics of the ion channels found in retinal cells. These data provide information about the functional role of ion channels in generating and shaping the light response of the cells. We have been working developing mathematical models of the retinal cells. The models in various simulation codes have been archived in Visiome platform(https://visiome.neuroinf.jp/), and we can test, reuse and even improve the published results. It is now possible to understand some computational operations that the retina performs and to relate them to specific physiological mechanisms, on the basis of computational modeling work. In the present work, we developed a computational model of the cone mosaic based on the anatomical and physiological characteristics. The model incorporated the anatomical characteristics such as the cone density and diameter, as well as the ratio of spectral subtypes which mediate color vision. Each cone was modeled based on the biophysical and physiological properties. The single cone model consists of three functional parts, i.e., outer, inner segments and synaptic terminal. In simulation, the model well reproduced the electrical responses similar to those observed experimentally. We also analyzed how the cone mosaic affects our ability to transform the spatial and color information in the retinal image. In conclusion, the present model can be used for analyzing the first step of visual information processing quantitatively. Figure 1 Acknowledgements This work was supported in part by JSPS KAKENHI #25330340. Keywords: Retina, cone photoreceptor, computational modeling, Ion Channels, Cone mosaic Conference: Neuroinformatics 2015, Cairns, Australia, 20 Aug - 22 Aug, 2015. Presentation Type: Poster, not to be considered for oral presentation Topic: Computational neuroscience Citation: Kunisada H, Saito N and Kamiyama Y (2015). Computational modeling of the cone mosaic based on the anatomy and physiology of the vertebrate retina. Front. Neurosci. Conference Abstract: Neuroinformatics 2015. doi: 10.3389/conf.fnins.2015.91.00007 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 20 Apr 2015; Published Online: 05 Aug 2015. * Correspondence: Prof. Yoshimi Kamiyama, Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi, 4801198, Japan, kamiyama@ist.aichi-pu.ac.jp Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Hiroaki Kunisada Naomi Saito Yoshimi Kamiyama Google Hiroaki Kunisada Naomi Saito Yoshimi Kamiyama Google Scholar Hiroaki Kunisada Naomi Saito Yoshimi Kamiyama PubMed Hiroaki Kunisada Naomi Saito Yoshimi Kamiyama Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.