Abstract

Event Abstract Back to Event Dynamic systems in human face recognition: A novel face processing model William Comfort1* and Yossi Zana1 1 Universidade Federal do ABC, Centre for Mathematics, Computation and Cognition, Brazil Face recognition is characterised by the interaction of a distributed network of discrete brain regions and by consecutive stages of rapid and efficient detection and individuation. We examine the evidence for these stages and synthesise current findings in a novel model which accounts for the differential task demands of categorising an object as a face out of a series of object categories, and for categorising a face at the individual level. The model functionally segregates face processing according to three main aspects: (a) the time course of face processing; (b) the view dependence of face-selective processing; (c) the differential response to familiar or unfamiliar faces across face-selective regions. Early visual information from V1 is conveyed to the occipital face area (OFA), where it is coded and identified in terms of facial features. A parallel stream of information is directed to the lateral occipital complex (LOC), where a global shape representation of the face is computed via the integration of multiple visual cues. A distinct face-sensitive region in the fusiform gyrus (FG) responds to both face parts and face configuration, indicating a unified representation of the structure of a face. The identification of an object as a face appears to occur via interaction between the FG, OFA and LOC. Recognition of facial identity relies on the integration of a view-dependent representation of facial identity based on the current perception, with a view-invariant model derived from semantic knowledge. This integration appears to occur via bidirectional interaction between the anterior temporal cortex and medial to anterior FG. Additional connections to frontal regions facilitate the retrieval of person-related semantic knowledge as well as the modulation of visual attention to familiar faces. We discuss recent TMS and fMRI pattern mapping results in the context of our proposed model focusing on separate, autonomous stages of face detection and individuation. Keywords: viewpoint invariance, face recognition, Cognitive Modelling, Face detection, familiar face processing 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: Comfort W and Zana Y (2015). Dynamic systems in human face recognition: A novel face processing model. Conference Abstract: XII International Conference on Cognitive Neuroscience (ICON-XII). doi: 10.3389/conf.fnhum.2015.217.00179 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: Mr. William Comfort, Universidade Federal do ABC, Centre for Mathematics, Computation and Cognition, São Bernardo, Brazil, wecomfort@gmail.com 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 William Comfort Yossi Zana Google William Comfort Yossi Zana Google Scholar William Comfort Yossi Zana PubMed William Comfort Yossi Zana 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.

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