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61
Speech and language therapists perspective of an e-learning course on providing feedback in the clinical learning environment
Davis, Siobhan. - 2021
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62
Evaluation of an e-Learning teaching innovation to assist clinical radiation therapy educators in the provision of student feedback
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63
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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64
A Call for Liberty and Justice for All: Unraveling the Complexities in 2021
In: Journal of Health Ethics (2021)
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65
Early word- learning skills: A missing link in understanding the vocabulary gap?
Shavlik, Margaret; Davis‐kean, Pamela E.; Schwab, Jessica F.. - : CSLI Publications, 2021. : Wiley Periodicals, Inc., 2021
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66
A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
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67
Case-sensitive plural suppletion in Barguzin Buryat : On case containment, suppletion typology, and competition in morphology
In: Glossa: A Journal of General Linguistics ; 6 (2021), 1. - 116. - Ubiquity Press. - eISSN 2397-1835 (2021)
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68
Creativity and arts-based expression: Building resilience in the pandemic and beyond
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69
A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
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70
Sustained neural rhythms reveal endogenous oscillations supporting speech perception
van Bree, Sander; Sohoglu, Ediz; Davis, Matthew H.. - : Public Library of Science, 2021. : PLOS Biology, 2021
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71
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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72
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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73
Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming.
Wang, Yingcan Carol; Henson, Rik; Sohoglu, Ediz; Gilbert, Becky; Davis, Matt. - : Society for Neuroscience, 2021. : Mrc Cognition And Brain Sciences Unit, 2021. : Department of Psychiatry, 2021. : J Neurosci, 2021
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 collected MEG data from male and female listeners to test these two Bayesian mechanisms and used a competitor priming manipulation to change the prior probability of specific words. Lexical decision responses showed delayed recognition of target words (hygiene) following presentation of a neighboring prime word (hijack) several minutes earlier. However, this effect was not observed with pseudoword primes (higent) or targets (hijure). Crucially, MEG responses in the STG showed greater neural responses for word-primed words after the point at which they were uniquely identified (after /haidʒ/ in hygiene) but not before while similar changes were again absent for pseudowords. These findings are consistent with accounts of spoken word recognition in which neural computations of prediction error play a central role.SIGNIFICANCE STATEMENT Effective speech perception is critical to daily life and involves computations that combine speech signals with prior knowledge of spoken words (i.e., Bayesian perceptual inference). This study specifies the neural mechanisms that support spoken word recognition by testing two distinct implementations of Bayes perceptual inference. Most established theories propose direct competition between lexical units such that inhibition of irrelevant candidates leads to selection of critical words. Our results instead support predictive-selection theories (e.g., Predictive-Coding): by comparing heard and predicted speech sounds, neural computations of prediction error can help listeners continuously update lexical probabilities, allowing for more rapid word identification.
Keyword: Adult; Bayes Theorem; Comprehension; Female; Humans; Magnetoencephalography; Male; MEG; Middle Aged; perception; prediction; priming; Psychology; Recognition; speech; Speech Perception; STG; Temporal Lobe; Young Adult
URL: https://www.repository.cam.ac.uk/handle/1810/331302
https://doi.org/10.17863/CAM.78749
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74
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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75
Super-recognisers: some people excel at both face and voice recognition
Jenkins, Ryan; Robertson, David; Davis, Josh P.. - : The Conversation Trust, 2021
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76
The part-whole effect in super-recognisers and typical-range-ability controls
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77
Dental Students’ Knowledge and Attitudes about Human Papillomavirus Prevention
In: Vaccines (Basel) (2021)
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78
The Double Bind of Communicating About Zoonotic Origins: Describing Exotic Animal Sources of COVID‐19 Increases Both Healthy and Discriminatory Avoidance Intentions
In: Risk Anal (2021)
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79
Extremely preterm children demonstrate hyperconnectivity during verb generation: A multimodal approach
In: Neuroimage Clin (2021)
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80
Associations of Pre- and Postnatal Air Pollution Exposures with Child Blood Pressure and Modification by Maternal Nutrition: A Prospective Study in the CANDLE Cohort
In: Environ Health Perspect (2021)
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