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Investigating the effect of changing parameters when building prediction models in post-stroke aphasia
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In: Nat Hum Behav (2020)
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Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation ...
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Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation ...
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SD-squared revisited: reply to Coltheart, Tree, and Saunders (2010). ...
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Predicting the pattern and severity of chronic post-stroke language deficits from functionally-partitioned structural lesions
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Triangulation of language-cognitive impairments, naming errors and their neural bases post-stroke
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Seeing the Meaning: Top–Down Effects on Letter Identification
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Laterality of anterior temporal lobe repetitive transcranial magnetic stimulation determines the degree of disruption in picture naming
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Do You Read How I Read? Systematic Individual Differences in Semantic Reliance amongst Normal Readers
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Taking Sides: An Integrative Review of the Impact of Laterality and Polarity on Efficacy of Therapeutic Transcranial Direct Current Stimulation for Anomia in Chronic Poststroke Aphasia
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Lexical is as lexical does: computational approaches to lexical representation
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Abstract:
In much of neuroimaging and neuropsychology, regions of the brain have been associated with ‘lexical representation’, with little consideration as to what this cognitive construct actually denotes. Within current computational models of word recognition, there are a number of different approaches to the representation of lexical knowledge. Structural lexical representations, found in original theories of word recognition, have been instantiated in modern localist models. However, such a representational scheme lacks neural plausibility in terms of economy and flexibility. Connectionist models have therefore adopted distributed representations of form and meaning. Semantic representations in connectionist models necessarily encode lexical knowledge. Yet when equipped with recurrent connections, connectionist models can also develop attractors for familiar forms that function as lexical representations. Current behavioural, neuropsychological and neuroimaging evidence shows a clear role for semantic information, but also suggests some modality- and task-specific lexical representations. A variety of connectionist architectures could implement these distributed functional representations, and further experimental and simulation work is required to discriminate between these alternatives. Future conceptualisations of lexical representations will therefore emerge from a synergy between modelling and neuroscience.
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Keyword:
Special Section: Representing mental representations: Neuroscientific and computational approaches to information processing in the brain
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396497 https://doi.org/10.1080/23273798.2015.1005637
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Opposing Effects of Semantic Diversity in Lexical and Semantic Relatedness Decisions
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Processing deficits for familiar and novel faces in patients with left posterior fusiform lesions
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Triangulation of the neurocomputational architecture underpinning reading aloud
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Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures
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Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures
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Connectionist neuropsychology: uncovering ultimate causes of acquired dyslexia
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