Neural Network Modelling of Inhibition in Visuo-Motor Control

Bowman, Howard and Schlaghecken, Friederike and Eimer, Martin (2002) Neural Network Modelling of Inhibition in Visuo-Motor Control. In: Proceedings of the Seventh Neural Computation and Psychology Workshop: Connectionist Models of Cognition and Perception, September 2002. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Masked priming experiments have shown that perceptuo-motor linkages can be made below the threshold of conscious experience. Notable amongst these experiments is work by Eimer and Schlaghecken that has shown that negative compatibility effects can be obtained, whereby behavioural costs are incurred when prime and target are compatible. Negative compatibility is suggestive of inhibitory mechanisms; a theory that is supported by lateralized readiness recordings of motor cortex activation. This paper develops a neural network model of masked priming that yields such negative compatibility. The key mechanisms that facilitate this outcome are (lateral inhibition based) competition between response alternatives and (opponent processing based) threshold gated direct response suppression. The main result of our model is the generation of response readiness profiles commensurate with the lateralized readiness potentials recorded from humans.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Neural Netorks, Inhibition, Subliminal Priming, Masking
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 17:59
Last Modified: 12 May 2014 14:13
Resource URI: (The current URI for this page, for reference purposes)
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