Biomaterial Database

Levels of representation in visual word recognition: a dissociation between morphological and semantic processing. 1998

J A Stolz, and D Besner

Department of Psychology, University of Waterloo, Ontario, Canada. jstolz@watarts.uwaterloo.ca

A robust semantic priming effect typically occurs in visual word recognition if the prime is read before a response to the target. However, this effect is dramatically reduced if a letter search is performed on the prime prior to responding to the target. Three lexical decision experiments document the new observation that morphological priming is preserved following letter search on the prime. This dissociation between morphological and semantic priming following letter search can be understood in the context of an interactive activation framework. In addition, the implications of these results for connectionist and compound cue accounts of word recognition, as well as the issue of automaticity in word recognition, are discussed.

UI	MeSH Term	Description	Entries
D008606	Mental Processes	Conceptual functions or thinking in all its forms.	Information Processing, Human,Human Information Processing
D011930	Reaction Time	The time from the onset of a stimulus until a response is observed.	Response Latency,Response Speed,Response Time,Latency, Response,Reaction Times,Response Latencies,Response Times,Speed, Response,Speeds, Response
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001332	Automatism	Automatic, mechanical, and apparently undirected behavior which is outside of conscious control.
D012660	Semantics	The relationships between symbols and their meanings.	Semantic
D014796	Visual Perception	The selecting and organizing of visual stimuli based on the individual's past experience.	Visual Processing,Perception, Visual,Processing, Visual
D014825	Vocabulary	The sum or the stock of words used by a language, a group, or an individual. (From Webster, 3d ed)	Vocabularies
D016571	Neural Networks, Computer	A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.	Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron