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 |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Thut, Professor Gregor and Rousselet, Dr Guillaume and Van Rijsbergen, Dr Nicola and Panzeri, Professor Stefano and Ince, Dr Robin and Gross, Professor Joachim and Schyns, Professor Philippe |
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 > School of Psychology & Neuroscience |
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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