Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment

Abstract

Event Abstract Back to Event Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment Avner Wallach1*, Danny Eytan1, Shimon Marom2 and Ron Meir1 1 Technion, Faculty of Electrical Engineering, Israel 2 Technion, Faculty of Medicine, Israel Biological systems often change their responsiveness when subject to persistent stimulation, a phenomenon termed adaptation. In neural systems, this process is often selective, allowing the system to adapt to one stimulus while preserving its sensitivity to another. In some studies, it has been shown that adaptation to a frequent stimulus increases the system's sensitivity to rare stimuli. These phenomena were explained in previous work as a result of complex interactions between the various subpopulations of the network. A formal description and analysis of neuronal systems, however, is hindered by the network's heterogeneity and by the multitude of processes taking place at different time-scales. Viewing neural networks as populations of interacting elements, we develop a framework that facilitates a formal analysis of complex, structured, heterogeneous networks. The formulation developed is based on an analysis of the availability of activity dependent resources, and their effects on network responsiveness. This approach offers a simple mechanistic explanation for selective adaptation, and leads to several predictions that were corroborated in both computer simulations and in cultures of cortical neurons developing in vitro. Conference: Bernstein Symposium 2008, Munich, Germany, 8 Oct - 10 Oct, 2008. Presentation Type: Poster Presentation Topic: All Abstracts Citation: Wallach A, Eytan D, Marom S and Meir R (2008). Selective Adaptation in Networks of Heterogeneous Populations: Model, Simulation, and Experiment. Front. Comput. Neurosci. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.096 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: 17 Nov 2008; Published Online: 17 Nov 2008. * Correspondence: Avner Wallach, Technion, Faculty of Electrical Engineering, Haifa, Israel, avnerw@tx.technion.ac.il 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 Avner Wallach Danny Eytan Shimon Marom Ron Meir Google Avner Wallach Danny Eytan Shimon Marom Ron Meir Google Scholar Avner Wallach Danny Eytan Shimon Marom Ron Meir PubMed Avner Wallach Danny Eytan Shimon Marom Ron Meir 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.