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1
Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis
In: JMIR Med Inform (2021)
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2
Perceptual and Semantic Representations at Encoding Contribute to True and False Recognition of Objects
In: J Neurosci (2021)
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3
Perceptual and semantic representations at encoding contribute to true and false recognition of objects
Naspi, Loris; Hoffman, Paul; Devereux, Barry. - : Society for Neuroscience, 2021
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4
Eliciting semantic properties: methods and applications [<Journal>]
Chaigneau, Sergio E. [Verfasser]; Canessa, Enrique [Verfasser]; Lenci, Alessandro [Verfasser].
DNB Subject Category Language
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5
Feature2Vec: Distributional semantic modelling of human property knowledge ...
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6
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context. ...
Klimovich-Gray, Anastasia; Tyler, Lorraine; Randall, Billi. - : Apollo - University of Cambridge Repository, 2019
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7
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context.
Klimovich-Gray, Anastasia; Tyler, Lorraine; Randall, Billi. - : Society for Neuroscience, 2019. : J Neurosci, 2019
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8
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context
Klimovich-Gray, Anastasia; Tyler, Lorraine K.; Randall, Billi. - : Society for Neuroscience, 2019
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9
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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10
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
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11
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge ...
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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
Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics. ...
Zhuang, Jie; Devereux, Barry J. - : Apollo - University of Cambridge Repository, 2017
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14
Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics.
Zhuang, Jie; Devereux, Barry J. - : Taylor & Francis, 2017. : Language, Cognition and Neuroscience, 2017
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15
From Perception to Conception: How Meaningful Objects Are Processed over Time
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16
Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics
Zhuang, Jie; Devereux, Barry J.. - : Routledge, 2017
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17
Decoding the Cortical Dynamics of Sound-Meaning Mapping
Kocagoncu, Ece; Clarke, Alex; Devereux, Barry J.. - : Society for Neuroscience, 2017
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18
Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing.
Abstract: Understanding spoken words involves a rapid mapping from speech to conceptual representations. One distributed feature-based conceptual account assumes that the statistical characteristics of concepts' features--the number of concepts they occur in (distinctiveness/sharedness) and likelihood of co-occurrence (correlational strength)--determine conceptual activation. To test these claims, we investigated the role of distinctiveness/sharedness and correlational strength in speech-to-meaning mapping, using a lexical decision task and computational simulations. Responses were faster for concepts with higher sharedness, suggesting that shared features are facilitatory in tasks like lexical decision that require access to them. Correlational strength facilitated responses for slower participants, suggesting a time-sensitive co-occurrence-driven settling mechanism. The computational simulation showed similar effects, with early effects of shared features and later effects of correlational strength. These results support a general-to-specific account of conceptual processing, whereby early activation of shared features is followed by the gradual emergence of a specific target representation. ; This work was supported by a European Research Council Advanced Investigator grant (under the European Community's Seventh Framework Programme (FP7/2007-2013/ ERC Grant agreement no 249640) to LKT, and a Marie Curie Intra-European Fellowship and Swiss National Science Foundation Ambizione Fellowship to KIT. We thank Ken McRae and colleagues for making their property norm data available. We are very grateful to George Cree and Chris McNorgan for providing us with the MikeNet implementation of their model. ; This is the final published version. It first appeared at http://dx.doi.org/10.1111/cogs.12234
URL: https://www.repository.cam.ac.uk/handle/1810/247185
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19
Predicting the Time Course of Individual Objects with MEG
Clarke, Alex; Devereux, Barry J.; Randall, Billi. - : Oxford University Press, 2015
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20
Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing
Devereux, Barry J.; Taylor, Kirsten I.; Randall, Billi. - : John Wiley and Sons Inc., 2015
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