Tracing the flow of perceptual features in an algorithmic brain network

Ince, R. A.A., Van Rijsbergen, N. J., Thut, G., Rousselet, G. A., Gross, J., Panzeri, S. and Schyns, P. G. (2015) Tracing the flow of perceptual features in an algorithmic brain network. Scientific Reports, 5, 17681. (doi:10.1038/srep17681) (PMID:26635299) (PMCID:PMC4669501)

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Abstract

The model of the brain as an information processing machine is a profound hypothesis in which neuroscience, psychology and theory of computation are now deeply rooted. Modern neuroscience aims to model the brain as a network of densely interconnected functional nodes. However, to model the dynamic information processing mechanisms of perception and cognition, it is imperative to understand brain networks at an algorithmic level–i.e. as the information flow that network nodes code and communicate. Here, using innovative methods (Directed Feature Information), we reconstructed examples of possible algorithmic brain networks that code and communicate the specific features underlying two distinct perceptions of the same ambiguous picture. In each observer, we identified a network architecture comprising one occipito-temporal hub where the features underlying both perceptual decisions dynamically converge. Our focus on detailed information flow represents an important step towards a new brain algorithmics to model the mechanisms of perception and cognition.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Thut, Professor Gregor and Gross, Professor Joachim and Schyns, Professor Philippe and Rousselet, Dr Guillaume and Van Rijsbergen, Dr Nicola and Panzeri, Professor Stefano and Ince, Dr Robin
Authors: Ince, R. A.A., Van Rijsbergen, N. J., Thut, G., Rousselet, G. A., Gross, J., Panzeri, S., and Schyns, P. G.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:Scientific Reports
Publisher:Nature Publishing Group
ISSN:2045-2322
ISSN (Online):2045-2322
Published Online:04 December 2015
Copyright Holders:Copyright © 2015 The Authors
First Published:First published in Scientific Reports 5:17681
Publisher Policy:Reproduced under a creative commons license

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
597051Natural and modulated neural communication: State-dependent decoding and driving of human Brain Oscillations.Joachim GrossWellcome Trust (WELLCOME)098433/Z/12/ZINP - CENTRE FOR COGNITIVE NEUROIMAGING
597911Natural and modulated neural communication: State-dependent decoding and driving of human Brain OscillationsGregor ThutWellcome Trust (WELLCOME)098434/Z/12/ZINP - CENTRE FOR COGNITIVE NEUROIMAGING
591881Understanding age-related changes in processing facial emotionPhilippe SchynsBiotechnology and Biological Sciences Research Council (BBSRC)BB/J018929/1INP - CENTRE FOR COGNITIVE NEUROIMAGING