Attention Selectively Reshapes the Geometry of Distributed Semantic Representation.

Autor:	Nastase SA; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA., Connolly AC; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.; Department of Neurology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA., Oosterhof NN; Center for Mind/Brain Sciences, Università degli Studi di Trento, 38068 Rovereto, Italy., Halchenko YO; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA., Guntupalli JS; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA., Visconti di Oleggio Castello M; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA., Gors J; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA., Gobbini MI; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.; Department of Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Medical School, University of Bologna, 40126 Bologna, Italy., Haxby JV; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.; Center for Mind/Brain Sciences, Università degli Studi di Trento, 38068 Rovereto, Italy.
Jazyk:	angličtina
Zdroj:	Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2017 Aug 01; Vol. 27 (8), pp. 4277-4291.
DOI:	10.1093/cercor/bhx138
Abstrakt:	Humans prioritize different semantic qualities of a complex stimulus depending on their behavioral goals. These semantic features are encoded in distributed neural populations, yet it is unclear how attention might operate across these distributed representations. To address this, we presented participants with naturalistic video clips of animals behaving in their natural environments while the participants attended to either behavior or taxonomy. We used models of representational geometry to investigate how attentional allocation affects the distributed neural representation of animal behavior and taxonomy. Attending to animal behavior transiently increased the discriminability of distributed population codes for observed actions in anterior intraparietal, pericentral, and ventral temporal cortices. Attending to animal taxonomy while viewing the same stimuli increased the discriminability of distributed animal category representations in ventral temporal cortex. For both tasks, attention selectively enhanced the discriminability of response patterns along behaviorally relevant dimensions. These findings suggest that behavioral goals alter how the brain extracts semantic features from the visual world. Attention effectively disentangles population responses for downstream read-out by sculpting representational geometry in late-stage perceptual areas. (© The Author 2017. Published by Oxford University Press.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu