Bowman, H. and Schlaghecken, F. and Eimer, M. (2006) A Neural Network Model of Inhibitory Processing in Subliminal Priming. Visual Cognition, 13 (4). pp. 401-480. ISSN 1464-0716 (electronic) 1350-6285 (paper) .
Masked Priming Experiments have revealed a precise set of facilitatory and inhibitory visual-motor control processes. Most notably, inhibitory effects have been identified in which prime-target compatibility induces performance costs and prime-target incompatibility induces performance benefits. We argue that this profile of data is commensurate with an ?emergency braking mechanism?, whereby responses can be retracted as a result of changing sensory evidence. The main contribution of this paper is to provide a neural network based explanation of this phenomenon. This is obtained through the use of feedforward inhibition to implement backward masking, lateral inhibition to implement response competition and opponent processing mechanisms to implement response retraction. Although the model remains simple, it does a very good job of reproducing the available masked priming data. For example, it reproduces a large spectrum of reaction time data across a number of different experimental conditions. Perhaps most notably however, it also reproduces Lateralized Readiness Potentials that have been recorded while subjects perform different conditions. In addition, it provides a concrete set of testable predictions.
|Uncontrolled keywords:||Masked Priming, Neural Networks, Inhibition, Opponent Processing, Inhibitory Reversal|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group|
|Depositing User:||Mark Wheadon|
|Date Deposited:||24 Nov 2008 18:04|
|Last Modified:||06 Sep 2011 01:34|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/14502 (The current URI for this page, for reference purposes)|
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