Visiome Platform in Retinal Modeling

Abstract

Event Abstract Back to Event Visiome Platform in Retinal Modeling Yoshimi Kamiyama1* and Shiro Usui2 1 Aichi Prefectural University, Information Science and Technology, Japan 2 RIKEN Brain Science Institute, Japan Recently computational models and tools are increasingly popularized in Vision science to assist in the exploration and interpretation of complex visual functions and phenomena. There is a critical need for a database where published data can be archived so that they can be accessed, uploaded, downloaded, and tested. Visiome Platform is being developed to answer this need as a web-based database system with a variety of digital research resources in vision science. We have been constructing a website, http://platform.visiome.neuroinf.jp/, which includes contents such as mathematical models, experimental data, illusion designs, visual stimulus generation codes, demonstration movies and analytical software tools.Since reproducibility is a key principle of the scientific method, it is essential that published results be testable by other researchers using the same method. However, for example, most modeling articles do not contain enough information that is necessary for readers to be able to reproduce and verify the results due to lack of initial conditions, incomplete parameter values and so on. Visiome Platform has been designed to make the items reusable. The platform accepts and provides archive files including any formats of model, data or visual stimulus with files of explanatory figures, program sources, readme and other related files.Users can browse Visiome Platform to surf the field of vision science, or seek specific topics of interests. Mathematical models of the vertebrate retina are typical contents in the platform. The retina is an excellent preparation for studying brain structure and function as well as neural signal processing in the brain because of its accessibility and suitability for neuroscientific investigation. Consequently, large amount of research results on all aspects of retinal visual information processing are available. We have been developing mathematical models of retinal neurons and network based on neurophysiological experimental findings. Models we developed are now browsed and downloaded and users can be able to reproduce simulation results in the original papers. In addition to our own models, we have been re-implementing published models of the retina such as a historical model of the photoreceptor and a recent systematic model of the cone-horizontal cell network. Here, we show the mathematical models of the retinal neurons, and demonstrate the electrical responses are quantitatively accounted for by the models in the platform. Visiome Platform now contains a growing collection of the published models of the retina, and the platform supports the field of neuroinformatics by making high-quality retinal models readily available. Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Oral Presentation Topic: Computational neuroscience Citation: Kamiyama Y and Usui S (2019). Visiome Platform in Retinal Modeling. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.111 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: 25 May 2009; Published Online: 09 May 2019. * Correspondence: Yoshimi Kamiyama, Aichi Prefectural University, Information Science and Technology, Aichi, 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 Yoshimi Kamiyama Shiro Usui Google Yoshimi Kamiyama Shiro Usui Google Scholar Yoshimi Kamiyama Shiro Usui PubMed Yoshimi Kamiyama Shiro Usui 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.