Journal article
An information theoretic characterisation of auditory encoding
PLoS biology, Vol.5(11), pp.2723-2732
11/01/2007
DOI: 10.1371/journal.pbio.0050288
PMCID: PMC2039771
PMID: 17958472
Abstract
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.
Details
- Title: Subtitle
- An information theoretic characterisation of auditory encoding
- Creators
- Tobias Overath - Newcastle UniversityRhodri Cusack - MRC Cognition and Brain Sciences UnitSukhbinder Kumar - Newcastle UniversityKatharina Von Kriegstein - Newcastle UniversityJason D. Warren - UK Dementia Research InstituteManon Grube - Newcastle UniversityRobert P. Carlyon - MRC Cognition and Brain Sciences UnitTimothy D. Griffiths - Newcastle University
- Resource Type
- Journal article
- Publication Details
- PLoS biology, Vol.5(11), pp.2723-2732
- DOI
- 10.1371/journal.pbio.0050288
- PMID
- 17958472
- PMCID
- PMC2039771
- NLM abbreviation
- PLoS Biol
- ISSN
- 1544-9173
- eISSN
- 1545-7885
- Publisher
- Public Library Science
- Number of pages
- 10
- Grant note
- Wellcome Trust; European Commission MC_U105592690; MC_U105559842 / Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC); European Commission MC_U105559842 / MRC; UK Research & Innovation (UKRI); Medical Research Council UK (MRC)
- Language
- English
- Date published
- 11/01/2007
- Academic Unit
- Psychological and Brain Sciences; Neurosurgery
- Record Identifier
- 9984304036702771
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