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1
The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
In: Mem Cognit (2021)
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The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
Hovhannisyan, Mariam; Clarke, Alex; Geib, Benjamin R.. - : Springer US, 2021. : Memory & Cognition, 2021
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The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
Hovhannisyan, Mariam; Clarke, Alex; Geib, Benjamin R.. - : Springer US, 2021. : Memory & Cognition, 2021
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4
The Visual and Semantic Features that Predict Object Memory: Concept Property Norms for 1000 Object Images
Hovhannisyan, Mariam; Clarke, Alex; Geib, Benjamin. - : Psychonomic Society, 2021. : Memory and Cognition, 2021
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5
Dynamic activity patterns in the anterior temporal lobe represents object semantics
In: Cogn Neurosci (2020)
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6
Neural dynamics of semantic composition. ...
Lyu, Bingjiang; Choi, Hun S; Marslen-Wilson, William. - : Apollo - University of Cambridge Repository, 2019
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7
Neural dynamics of semantic composition.
Lyu, Bingjiang; Choi, Hun S; Marslen-Wilson, William. - : Proceedings of the National Academy of Sciences, 2019. : Proc Natl Acad Sci U S A, 2019
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8
Perceptual and conceptual processing of visual objects across the adult lifespan
Bruffaerts, Rose; Tyler, Lorraine K.; Shafto, Meredith. - : Nature Publishing Group UK, 2019
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9
Neural dynamics of semantic composition
Lyu, Bingjiang; Choi, Hun S.; Marslen-Wilson, William D.. - : National Academy of Sciences, 2019
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10
Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
Devereux, Barry J.; Clarke, Alex; Tyler, Lorraine K.. - : Nature Research, 2018
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11
Oscillatory Dynamics of Perceptual to Conceptual Transformations in the Ventral Visual Pathway
Clarke, Alex; Devereux, Barry J.; Tyler, Lorraine K.. - : Massachusetts Institute of Technology Press, 2018
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
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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12
Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
Devereux, Barry J.; Clarke, Alex; Tyler, Lorraine K.. - : Nature Publishing Group UK, 2018
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13
Decoding the Cortical Dynamics of Sound-Meaning Mapping. ...
Kocagoncu, Ece; Clarke, Alex; Devereux, BJ. - : Apollo - University of Cambridge Repository, 2017
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14
Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity. ...
Riès, Stephanie K; Dhillon, Rummit K; Clarke, Alex. - : Apollo - University of Cambridge Repository, 2017
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15
Decoding the Cortical Dynamics of Sound-Meaning Mapping.
Kocagoncu, Ece; Clarke, Alex; Devereux, BJ. - : Society for Neuroscience, 2017. : The Journal of Neuroscience, 2017
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16
Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity.
Riès, Stephanie K; Dhillon, Rummit K; Clarke, Alex. - : National Academy of Sciences, 2017. : Proceedings of the National Academy of Sciences, 2017
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17
From Perception to Conception: How Meaningful Objects Are Processed over Time
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18
Decoding the Cortical Dynamics of Sound-Meaning Mapping
Kocagoncu, Ece; Clarke, Alex; Devereux, Barry J.. - : Society for Neuroscience, 2017
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19
Spatiotemporal dynamics of word retrieval in speech production revealed by cortical high-frequency band activity
Riès, Stephanie K.; Dhillon, Rummit K.; Clarke, Alex. - : National Academy of Sciences, 2017
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20
The perirhinal cortex and conceptual processing: Effects of feature-based statistics following damage to the anterior temporal lobes
Wright, Paul; Randall, Billi; Clarke, Alex. - : Pergamon Press, 2015
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