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Kozunov V, Nikolaeva A, Stroganova TA. Categorization for Faces and Tools-Two Classes of Objects Shaped by Different Experience-Differs in Processing Timing, Brain Areas Involved, and Repetition Effects. Front Hum Neurosci. 2018;11:650doi: 10.3389/fnhum.2017.00650.
Kozunov, V., Nikolaeva, A., & Stroganova, T. A. (2017). Categorization for Faces and Tools-Two Classes of Objects Shaped by Different Experience-Differs in Processing Timing, Brain Areas Involved, and Repetition Effects. Frontiers in human neuroscience, 11650. https://doi.org/10.3389/fnhum.2017.00650
Kozunov, Vladimir, et al. "Categorization for Faces and Tools-Two Classes of Objects Shaped by Different Experience-Differs in Processing Timing, Brain Areas Involved, and Repetition Effects." Frontiers in human neuroscience vol. 11 (2017): 650. doi: https://doi.org/10.3389/fnhum.2017.00650
Kozunov V, Nikolaeva A, Stroganova TA. Categorization for Faces and Tools-Two Classes of Objects Shaped by Different Experience-Differs in Processing Timing, Brain Areas Involved, and Repetition Effects. Front Hum Neurosci. 2018 Jan 09;11:650. doi: 10.3389/fnhum.2017.00650. eCollection 2017. PMID: 29379426; PMCID: PMC5770807.
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Front Hum Neurosci. 2018 Jan 09;11:650. doi: 10.3389/fnhum.2017.00650. eCollection 2017.

Categorization for Faces and Tools-Two Classes of Objects Shaped by Different Experience-Differs in Processing Timing, Brain Areas Involved, and Repetition Effects.

Frontiers in human neuroscience

Vladimir Kozunov, Anastasia Nikolaeva, Tatiana A Stroganova

Affiliations

  1. MEG Centre, Moscow State University of Psychology and Education, Moscow, Russia.

PMID: 29379426 PMCID: PMC5770807 DOI: 10.3389/fnhum.2017.00650

Abstract

The brain mechanisms that integrate the separate features of sensory input into a meaningful percept depend upon the prior experience of interaction with the object and differ between categories of objects. Recent studies using representational similarity analysis (RSA) have characterized either the spatial patterns of brain activity for different categories of objects or described how category structure in neuronal representations emerges in time, but never simultaneously. Here we applied a novel, region-based, multivariate pattern classification approach in combination with RSA to magnetoencephalography data to extract activity associated with qualitatively distinct processing stages of visual perception. We asked participants to name what they see whilst viewing bitonal visual stimuli of two categories predominantly shaped by either value-dependent or sensorimotor experience, namely faces and tools, and meaningless images. We aimed to disambiguate the spatiotemporal patterns of brain activity between the meaningful categories and determine which differences in their processing were attributable to either perceptual categorization

Keywords: feature binding; magnetoencephalography; repetition effects; representational similarity analysis; sensorimotor associations; value; visual perception; visual processing stages

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