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Lookup NU author(s): Tobias Overath, Dr Sukhbinder Kumar, Dr Katherina von Kriegstein, Dr Jason Warren, Dr Manon Grube, Professor Tim GriffithsORCiD
The entropy metric derived from information theory provides a means to quantify the amount of information transmitted in acoustic streams like speech or music. By systematically varying the entropy of pitch sequences, we sought brain areas where neural activity and energetic demands increase as a function of entropy. Such a relationship is predicted to occur in an efficient encoding mechanism that uses less computational resource when less information is present in the signal: we specifically tested the hypothesis that such a relationship is present in the planum temporale (PT). In two convergent functional MRI studies, we demonstrated this relationship in PT for encoding, while furthermore showing that a distributed fronto-parietal network for retrieval of acoustic information is independent of entropy. The results establish PT as an efficient neural engine that demands less computational resource to encode redundant signals than those with high information content. © 2007 Overath et al.
Author(s): Overath T, Cusack R, Kumar S, Von Kriegstein K, Warren JD, Grube M, Carlyon RP, Griffiths TD
Publication type: Article
Publication status: Published
Journal: PLoS Biology
Year: 2007
Volume: 5
Issue: 11
Pages: e288 (2723-2732)
Print publication date: 01/11/2007
ISSN (print): 1544-9173
ISSN (electronic): 1545-7885
Publisher: Public Library of Science
URL: http://dx.doi.org/10.1371/journal.pbio.0050288
DOI: 10.1371/journal.pbio.0050288
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