Determinants of Multiple Semantic Priming: A Meta-Analysis and Spike Frequency Adaptive Model of a Cortical Network

Autor/inn/en	Lavigne, Frederic; Dumercy, Laurent; Darmon, Nelly
Titel	Determinants of Multiple Semantic Priming: A Meta-Analysis and Spike Frequency Adaptive Model of a Cortical Network
Quelle	In: Journal of Cognitive Neuroscience, 23 (2011) 6, S.1447-1474 (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0898-929X
DOI	10.1162/jocn.2010.21504
Schlagwörter	Priming; Comprehension; Stimuli; Semantics; Meta Analysis; Models; Brain Hemisphere Functions; Prediction; Language Processing; Recall (Psychology) + Suchen Sie Ihr Suchwort? Verstehen; Verständnis; Anreizsystem; Semantik; Meta-analysis; Metaanalyse; Analogiemodell; Vorhersage; Sprachverarbeitung; Abberufung
Abstract	Recall and language comprehension while processing sequences of words involves multiple semantic priming between several related and/or unrelated words. Accounting for multiple and interacting priming effects in terms of underlying neuronal structure and dynamics is a challenge for current models of semantic priming. Further elaboration of current models requires a quantifiable and reliable account of the simplest case of multiple priming resulting from two primes on a target. The meta-analytic approach offers a better understanding of the experimental data from studies on multiple priming regarding the additivity pattern of priming. The meta-analysis points to the effects of prime-target stimuli onset asynchronies on the pattern of underadditivity, overadditivity, or strict additivity of converging activation from multiple primes. The modeling approach is then constrained by results of the meta-analysis. We propose a model of a cortical network embedding spike frequency adaptation, which allows frequency and time-dependent modulation of neural activity. Model results give a comprehensive understanding of the meta-analysis results in terms of dynamics of neuron populations. They also give predictions regarding how stimuli intensities, association strength, and spike frequency adaptation influence multiple priming effects. (As Provided).
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Update	2017/4/10