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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming. ...
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Abstract:
Human listeners achieve quick and effortless speech comprehension through computations of conditional probability using Bayes rule. However, the neural implementation of Bayesian perceptual inference remains unclear. Competitive-selection accounts (e.g., TRACE) propose that word recognition is achieved through direct inhibitory connections between units representing candidate words that share segments (e.g., hygiene and hijack share /haidʒ/). Manipulations that increase lexical uncertainty should increase neural responses associated with word recognition when words cannot be uniquely identified. In contrast, predictive-selection accounts (e.g., Predictive-Coding) propose that spoken word recognition involves comparing heard and predicted speech sounds and using prediction error to update lexical representations. Increased lexical uncertainty in words, such as hygiene and hijack, will increase prediction error and hence neural activity only at later time points when different segments are predicted. We ...
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Keyword:
Adult; Bayes Theorem; Comprehension; Female; Humans; Magnetoencephalography; Male; MEG; Middle Aged; perception; prediction; priming; Recognition, Psychology; speech; Speech Perception; STG; Temporal Lobe; Young Adult
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URL: https://dx.doi.org/10.17863/cam.78749 https://www.repository.cam.ac.uk/handle/1810/331302
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A Bayesian optimization approach for rapidly mapping residual network function in stroke.
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming.
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Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
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Chunking and redintegration in verbal short-term memory. ...
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Comparison of Frequency Transposition and Frequency Compression for People With Extensive Dead Regions in the Cochlea. ...
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Dynamic integration of conceptual information during learning.
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In: PloS one, vol 13, iss 11 (2018)
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ИНТЕЛЛЕКТУАЛЬНЫЙ ФИЛЬТР ЭЛЕКТРОННЫХ СООБЩЕНИЙ ... : INTELLIGENT FILTER FOR THE ELECTRONIC MESSAGES ...
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Rational irrationality: modeling climate change belief polarization using bayesian networks
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Language phylogenies reveal expansion pulses and pauses in Pacific settlement
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In: Science (2015)
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A Bayesian framework for knowledge attribution: evidence from semantic integration.
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Forensic Speaker Recognition at the beginning of the twenty-first century - an overview and a demonstration
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In: Australian Journal of Forensic Sciences (2015)
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Strength of forensic speaker identification evidence: multispeaker formant- and cepstrum-based segmental discrimination with a Bayesian likelihood ratio as threshold
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In: Forensic Linguistics: The International Journal of Speech, Language and the Law (2015)
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Mapping the Origins and Expansion of the Indo-European Language Family
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In: Science (2015)
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Strength of forensic speaker identification evidence: multispeaker formant- and cepstrum-based segmental discrimination with a Bayesian likelihood ratio as threshold
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In: Forensic Linguistics: The International Journal of Speech, Language and the Law (2015)
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The Riddle of Tasmanian languages
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In: Royal Society of London. Proceedings B. Biological Sciences (2015)
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Forensic Speaker Recognition at the beginning of the twenty-first century - an overview and a demonstration
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In: Australian Journal of Forensic Sciences (2015)
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