Event Abstract Back to Event Complex network modeling of saccades control Pietro Lio1*, Andrea Guazzini2, Marco Conti2 and Andrea Passarella2 1 University of Cambridge, United Kingdom 2 Institute for Informatics and Telematics, Italy The fundamental question about the perception of time is whether the neural mechanisms underlying temporal judgements are universal and centralized in the brain or modality specific and distributed. The modern view of the brain is based on the notion of a collection of interacting functional units, lead to idea of a distributed asynchronous consciousness, resulting from the neural activity in functionally distinct areas of the brain, each of which spawns its own unique microconsciousness. The visual system presents several examples of timing mechanisms. Its activity is characterized by a complex network of synchronised elements which cooperate together. Here we focus on saccades which are ballistic movements that require the brain to generate motor commands without the information from sensorial feedback. Using Bayesian statistical inference we re-analyse data or discuss reported numerical results from several models of saccades control presented in literature. Then, we present an adaptive feedback model based on complex networks theory and communication network theory which we show to provide a very good fit to the data and insightful clues on the relationships between saccades control and time/space perception. Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008. Presentation Type: Poster Presentation Topic: Computational Neuroscience Citation: Lio P, Guazzini A, Conti M and Passarella A (2008). Complex network modeling of saccades control. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.039 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: 28 Jul 2008; Published Online: 28 Jul 2008. * Correspondence: Pietro Lio, University of Cambridge, Cambridge, United Kingdom, pl219@cam.ac.uk 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 Pietro Lio Andrea Guazzini Marco Conti Andrea Passarella Google Pietro Lio Andrea Guazzini Marco Conti Andrea Passarella Google Scholar Pietro Lio Andrea Guazzini Marco Conti Andrea Passarella PubMed Pietro Lio Andrea Guazzini Marco Conti Andrea Passarella 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.