Event Abstract Back to Event Information content of electrophysiological responses elicited by omissions of self-initiated sounds Iria SanMiguel1* and Erich Schröger1 1 Leipzig University, BioCog, Institute for Psychology, Germany Prediction plays a fundamental role in sensory processing and perception. However, the neural representation code of sensory predictions is still unknown. In previous studies, (SanMiguel et al., 2013 J Neurosci; SanMiguel, Saupe & Schröger 2013, Front Hum Neurosci) we have been able to unmask neural activity representing sensory predictions inserting sound omissions in a paradigm where participants self-initiate sounds by pressing a button. Here, we aimed at clarifying to which degree prediction-related activity unmasked in this paradigm reflects the physical characteristics of the predicted stimulus. Our main hypothesis is that sensory predictions are represented with sensory templates; hence omissions of self-initiated sounds should mimic the behaviour of exogenous responses when the physical characteristics of the self-initiated sounds are predictable. We manipulated two physical characteristics of the self-initiated sounds which are known to affect the morphology of scalp-recorded auditory ERPs: sound frequency and presentation ear. Participants chose on a trial-by-trial basis to generate a high- or a low-frequency sound by pressing either one of two buttons. Presentation ear was manipulated block-wise. Self-initiated sounds were omitted in 12.5% of the trials. Morphological differences were observed between the auditory responses of high- and low-frequency and left and right ear sounds. Interestingly, these differences were mimicked in the electrophysiological responses elicited by the unexpected omissions of the same sounds. We will present results from a pattern classification analysis, performed to assess the information content of the omission responses. In this analysis, we investigate whether a classifier trained on the basis of sound responses is able to correctly classify omission responses according to the expected frequency and presentation ear of the omitted sound. Keywords: Prediction error, Pattern Classification, self-generation, Omissions, auditory ERPs Conference: XII International Conference on Cognitive Neuroscience (ICON-XII), Brisbane, Queensland, Australia, 27 Jul - 31 Jul, 2014. Presentation Type: Poster Topic: Sensation and Perception Citation: SanMiguel I and Schröger E (2015). Information content of electrophysiological responses elicited by omissions of self-initiated sounds. Conference Abstract: XII International Conference on Cognitive Neuroscience (ICON-XII). doi: 10.3389/conf.fnhum.2015.217.00383 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: 19 Feb 2015; Published Online: 24 Apr 2015. * Correspondence: Dr. Iria SanMiguel, Leipzig University, BioCog, Institute for Psychology, Leipzig, Germany, isanmiguel@ub.edu 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 Iria SanMiguel Erich Schröger Google Iria SanMiguel Erich Schröger Google Scholar Iria SanMiguel Erich Schröger PubMed Iria SanMiguel Erich Schröger 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.