Semantic Priming

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A01=Timothy P. McNamara
associative network models
Author_Timothy P. McNamara
Backward Priming
Category Exemplar Pairs
Category=CFG
cognitive psychology
compound
Compound Cue Models
cue
decision
Distributed Network Models
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
experimental semantic priming research
lexical
Lexical Decision
Lexical Decision Task
lexical decision tasks
List Context Effects
Masked Priming
matching
models
multistage
Multistage Activation Models
N400 event-related potential
Neutral Prime
Prime Task Effect
recognition
Related Prime Condition
Semantic Matching
Semantic Priming
Semantic Priming Effects
Semantic Set
Short Prime Durations
Short SOA
SOA
spreading activation theory
Stimulus Quality
Strategic Priming
task
unconscious language processing
Unrelated Prime
Unrelated Prime Condition
Vice Versa
word
Word Recognition

Product details

  • ISBN 9781841690797
  • Weight: 550g
  • Dimensions: 152 x 229mm
  • Publication Date: 28 Jul 2005
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Semantic priming has been a focus of research in the cognitive sciences for more than thirty 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.

The first section examines models of semantic priming, including spreading activation models, the verification model, compound-cue models, distributed network models, and multistage activation models (e.g. interactive-activation model).

The second section examines issues and findings that have played an especially important role in testing models of priming and includes chapters on the following topics: methodological issues (e.g. counterbalancing of materials, choice of priming baselines); automatic vs. strategic priming; associative vs. “pure” semantic priming; mediated priming; long-term semantic priming; backward priming; unconscious priming; the prime-task effect; list context effects; effects of word frequency, stimulus quality, and stimulus repetition; and the cognitive neuroscience of semantic priming.

The book closes with a summary and a discussion of promising new research directions.

The volume will be of interest to a wide range of researchers and students in the cognitive sciences and neurosciences.

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