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Oscillatory dynamics of perceptual to conceptual transformations in the ventral visual pathway


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Type

Article

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Authors

Clarke, AD 
Devereux, Barry 

Abstract

Object recognition requires dynamic transformations of low-level visual inputs to complex semantic representations. While this process depends on the ventral visual pathway (VVP), we lack an incremental account from low-level inputs to semantic representations, and the mechanistic details of these dynamics. Here we combine computational models of vision with semantics, and test the output of the incremental model against patterns of neural oscillations recorded with MEG in humans. Representational Similarity Analysis showed visual information was represented in low-frequency activity activity throughout the VVP, and semantic information was represented in theta activity. Furthermore, directed connectivity showed visual information travels through feedforward connections, while visual information is transformed into semantic representations through feedforward and feedback activity, centered on the anterior temporal lobe. Our research highlights that the complex transformations between visual and semantic information is driven by feedforward and recurrent dynamics resulting in object-specific semantics.

Description

Keywords

Computational Biology, Female, Humans, Magnetic Resonance Imaging, Magnetoencephalography, Male, Pattern Recognition, Visual, Photic Stimulation, Random Allocation, Semantics, Theta Rhythm, Visual Pathways

Journal Title

Journal of Cognitive Neuroscience

Conference Name

Journal ISSN

1530-8898
1530-8898

Volume Title

30

Publisher

MIT Press
Sponsorship
European Research Council (249640)
European Research Council (669820)
This work was supported by a European Research Council Advanced Investigator grant under the European Community’s Horizon 2020 Research and Innovation Programme (2014-2020 ERC Grant Agreement No. 669820) to L. K. T. and by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013)/ERC Grant Agreement No. 249640 to L. K. T.).