Event Abstract Back to Event Adaptation enhances a population code for gaps Chun-Wei Yuan1* and Christian Leibold1, 2 1 Bernstein Center for Computational Neuroscience, Germany 2 University of Munich, Biology II, Germany It is believed that the inferior colliculus (IC) functions as a central processing unit that converts the temporal code of the upstream pathways into the rate code of the thalamus and the cortex. Yet how the IC is able to encode the rich array of temporal structures of our natural acoustic environment remains poorly understood. Here we present a computational study that investigates how a recurrent network discriminates amplitude-modulated sound stimuli through the diverse response behaviors of its constituent neurons. In our model, amplitude-modulated Poisson inputs are fed into a recurrent network. The network consists of a mixture of excitatory and inhibitory integrate-and-fire neurons, and its output is feed-forwardly connected to a linear read-out unit to perform canonical classification tasks. The analysis is then conducted as a function of neuronal parameters (adaptation, parameter value variance, etc.) to investigate the functionality of experimentally observed heterogeneity. It is found that adaptation enhances the network's ability in gap-detection. The effect is most pronounced when the adaptive hyperpolarization time constant is on the scale of the gap size to be detected. This implies that the IC should contain a wide range of adaptive behavior in response to the natural environment, as is experimentally found. Keywords: adaptation, population code, Recurrent network Conference: Bernstein Conference 2012, Munich, Germany, 12 Sep - 14 Sep, 2012. Presentation Type: Poster Topic: Abstracts Citation: Yuan C and Leibold C (2012). Adaptation enhances a population code for gaps. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. doi: 10.3389/conf.fncom.2012.55.00245 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: 10 May 2012; Published Online: 12 Sep 2012. * Correspondence: Dr. Chun-Wei Yuan, Bernstein Center for Computational Neuroscience, Muenchen, Germany, yuan@bio.lmu.de 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 Chun-Wei Yuan Christian Leibold Google Chun-Wei Yuan Christian Leibold Google Scholar Chun-Wei Yuan Christian Leibold PubMed Chun-Wei Yuan Christian Leibold 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.