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  1. Semantic priming: perspectives from memory and word recognition.Timothy P. McNamara - 2005 - New York: Psychology Press.
    Semantic priming has been a focus of research in the cognitive sciences for more than 30 years and is commonly used as a tool for investigating other aspects of perception and cognition, such as word recognition, language comprehension, and knowledge representations. Semantic Priming: Perspectives from Memory and Word Recognition examines empirical and theoretical advancements in the understanding of semantic priming, providing a succinct, in-depth review of this important phenomenon, framed in terms of models of memory and models of word recognition. (...)
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  • The time course of perceptual choice: The leaky, competing accumulator model.Marius Usher & James L. McClelland - 2001 - Psychological Review 108 (3):550-592.
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  • Learning and applying contextual constraints in sentence comprehension.Mark F. St John & James L. McClelland - 1990 - Artificial Intelligence 46 (1-2):217-257.
  • Components of activation: Repetition and priming effects in lexical decision and recognition.Roger Ratcliff, William Hockley & Gail McKoon - 1985 - Journal of Experimental Psychology 114 (4):435-450.
  • Simulating the N400 ERP component as semantic network error: Insights from a feature-based connectionist attractor model of word meaning.Milena Rabovsky & Ken McRae - 2014 - Cognition 132 (1):68-89.
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  • Individual and developmental differences in semantic priming: Empirical and computational support for a single-mechanism account of lexical processing.David C. Plaut & James R. Booth - 2000 - Psychological Review 107 (4):786-823.
  • Lesioning an attractor network: Investigations of acquired dyslexia.Geoffrey E. Hinton & Tim Shallice - 1991 - Psychological Review 98 (1):74-95.
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  • No more problems in Coltheart's neighborhood: resolving neighborhood conflicts in the lexical decision task.J. C. Ziegler - 1998 - Cognition 68 (2):B53-B62.
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  • An Attractor Model of Lexical Conceptual Processing: Simulating Semantic Priming.George S. Cree, Ken McRae & Chris McNorgan - 1999 - Cognitive Science 23 (3):371-414.
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  • Context, cortex, and dopamine: A connectionist approach to behavior and biology in schizophrenia.Jonathan D. Cohen & David Servan-Schreiber - 1992 - Psychological Review 99 (1):45-77.
  • A Neurocomputational Model of the N400 and the P600 in Language Processing.Harm Brouwer, Matthew W. Crocker, Noortje J. Venhuizen & John C. J. Hoeks - 2017 - Cognitive Science 41 (S6):1318-1352.
    Ten years ago, researchers using event-related brain potentials to study language comprehension were puzzled by what looked like a Semantic Illusion: Semantically anomalous, but structurally well-formed sentences did not affect the N400 component—traditionally taken to reflect semantic integration—but instead produced a P600 effect, which is generally linked to syntactic processing. This finding led to a considerable amount of debate, and a number of complex processing models have been proposed as an explanation. What these models have in common is that they (...)
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  • A cortical network for semantics: (de)constructing the N400.E. Lau, C. Phillips & D. Poeppel - 2008 - Nature Reviews Neuroscience 9:920-933.
    Measuring event-related potentials (ERPs) has been fundamental to our understanding of how language is encoded in the brain. One particular ERP response, the N400 response, has been especially influential as an index of lexical and semantic processing. However, there remains a lack of consensus on the interpretation of this component. Resolving this issue has important consequences for neural models of language comprehension. Here we show that evidence bearing on where the N400 response is generated provides key insights into what it (...)
     
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