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Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
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Oscillatory Dynamics of Perceptual to Conceptual Transformations in the Ventral Visual Pathway
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Abstract:
Object recognition requires dynamic transformations of low-level visual inputs to complex semantic representations. Although this process depends on the ventral visual pathway, 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 magnetoencephalography in humans. Representational similarity analysis showed visual information was represented in low-frequency activity throughout the ventral visual pathway, and semantic information was represented in theta activity. Furthermore, directed connectivity showed visual information travels through feedforward connections, whereas 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
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URL: https://doi.org/10.1162/jocn_a_01325 https://arro.anglia.ac.uk/id/eprint/703754/6/Clarke_2018.pdf https://arro.anglia.ac.uk/id/eprint/703754/
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Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
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Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics. ...
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Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics.
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Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics
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Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing.
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Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing
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The Centre for Speech, Language and the Brain (CSLB) concept property norms. ...
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The Centre for Speech, Language and the Brain (CSLB) concept property norms.
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Representational Similarity Analysis Reveals Commonalities and Differences in the Semantic Processing of Words and Objects
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Objects and categories: Feature statistics and object processing in the ventral stream
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Syntactic computations in the language network: characterizing dynamic network properties using representational similarity analysis.
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Syntactic Computations in the Language Network: Characterizing Dynamic Network Properties Using Representational Similarity Analysis
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The Centre for Speech, Language and the Brain (CSLB) concept property norms
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Contrasting effects of feature-based statistics on the categorisation and identification of visual objects
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