Title |
DERIVED STIMULUS RELATIONS, SEMANTIC PRIMING, AND EVENT‐RELATED POTENTIALS: TESTING A BEHAVIORAL THEORY OF SEMANTIC NETWORKS
|
---|---|
Published in |
Journal of the Experimental Analysis of Behavior, February 2013
|
DOI | 10.1901/jeab.2005.78-04 |
Pubmed ID | |
Authors |
Dermot Barnes‐Holmes, Carmel Staunton, Robert Whelan, Yvonne Barnes‐Holmes, Sean Commins, Derek Walsh, Ian Stewart, Paul M. Smeets, Simon Dymond |
Abstract |
Derived equivalence relations, it has been argued, provide a behavioral model of semantic or symbolic meaning in natural language, and thus equivalence relations should possess properties that are typically associated with semantic relations. The present study sought to test this basic postulate using semantic priming. Across three experiments, participants were trained and tested in two 4-member equivalence relations using word-like nonsense words. Participants also were exposed to a single- or two-word lexical decision task, and both direct (Experiment 1) and mediated (Experiments 2 and 3) priming effects for reaction times and event-related potentials were observed within but not across equivalence relations. The findings support the argument that derived equivalence relations provides a useful preliminary model of semantic relations. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 2% |
Italy | 1 | 1% |
Canada | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 83 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 17% |
Researcher | 10 | 11% |
Student > Master | 10 | 11% |
Professor > Associate Professor | 8 | 9% |
Student > Doctoral Student | 7 | 8% |
Other | 30 | 34% |
Unknown | 8 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 53 | 60% |
Neuroscience | 5 | 6% |
Social Sciences | 5 | 6% |
Medicine and Dentistry | 3 | 3% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 9 | 10% |
Unknown | 11 | 13% |