Neural processing of auditory structure: cortical encoding, representation and prediction

Abstract

Ecologically relevant information in natural auditory environments is often characterised by probabilistic regularities embedded in a complex mix of acoustic signals. Using functional and structural magnetic resonance imaging, electroencephalography, and magnetoencephalography, the project will investigate the mechanisms by which the human auditory system identifies, represents and predicts such regularities. The research will focus specifically on characterising cortical representations of temporal auditory regularities, how these representations change with attention and learning, and how encoding of sound regularities is affected by expertise with perceiving or producing sound. Design, analysis, and interpretation of neuroimaging studies will be guided by probabilistic learning models.





References:
[1]

Dick F, Taylor Tierney A, Lutti A, Josephs O, Sereno MI, Weiskopf N (2012) In Vivo Functional and Myeloarchitectonic Mapping of Human Primary Auditory Areas. J Neurosci, 32:16095–16105.

[2]

Chait, M; Ruff, CC; Griffiths, TD; McAlpine, D; (2012) Cortical responses to changes in acoustic regularity are differentially modulated by attentional load. Neuroimage , 59 (2) 1932 - 1941. 10.1016/j.neuroimage.2011.09.006.

[3]

Andreou, LV; Kashino, M; Chait, M; (2011) The role of temporal regularity in auditory segregation. HEARING RES , 280 (1-2) 228 - 235. 10.1016/j.heares.2011.06.001.

[4]

Leech R Holt L Devlin J Dick F. Expertise with artificial non-speech sounds recruits speech-sensitive cortical regions. J Neurosci, 2009, 29, 5234-9.

[5]

Dick F Lee HL Nusbaum H Price CJ Auditory-motor expertise alters ‘speech selectivity’ in professional musicians and actors. Cereb Cortex, 2011, 21(4), 938-948.


Biological Areas:

Neurobiology
Physiology

BBSRC Area:

Genes, development and STEM approaches to biology