Computational modelling as an approach to neural mechanisms of Negative Priming

Jörg Behrendt, Hecke Schrobsdorff, Matthias Ihrke, Michael Herrmann, Marcus Hasselhorn

Research output: Contribution to journalArticlepeer-review

Abstract

Negative Priming (NP)
= phenomenon of selective attention; slowing of reaction
time (RT), if an presented target in trial n was congruent to the distractor in trial n-1.
Theoretical Problems:
• NP-effect is very universal; has been found in a wide variety of experimental
contexts [3]
• Non of the current discussed models is able to explain all the effects, because the
growing body of empirical evidence is very complex.
Perspective of the project:
• Using a computational approach to NP to
consider th
e neurophysiological basis of
NP-processes and also aging effects at a later time
• Intergration of all relevant cognitive processes in one model
• Derive more specific and also quantitative predictions (than possible from the other
more abstract models)
• Successive examination of new predictions in behavioral experiment
Original languageEnglish
Pages (from-to)143-143
Number of pages1
JournalInternational Journal of Psychophysiology
Volume20
Issue number2
Publication statusPublished - 2006

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