A Connectionist Model of Inhibition in Masked Priming (abstract)

Bowman, Howard and Schlaghecken, Friederike and Eimer, Martin (2002) A Connectionist Model of Inhibition in Masked Priming (abstract). In: Proceedings of Sixth International Conference on Cognitive and Neural Systems, May 30th - June 1st, 2002, May 30th to June 1st 2002, Boston, Massachussetts. (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)

The full text of this publication is not available from this repository. (Contact us about this Publication)


A key question that has come to dominate a large body of research on perception to action coupling is the role that consciousness plays in such binding. In fact, there is now considerable evidence that visual stimuli can affect response tendencies even when the stimuli are not consciously perceived. Furthermore, there is also now evidence that subliminally presented stimuli can induce inhibitory effects. It is argued that this inhibitory reversal implements an emergency breaking mechanism - once the evidence for a response is removed (as accrues from mask presentation) the corresponding motor action is suppressed. These results prompt consideration of the computational mechanism that underlies such an inhibitory reversal. Our proposal is that the effect arises from the interplay of response competition (as implemented by lateral inhibition) and a threshold gated direct suppression of strongly activated response nodes. The latter of these is implemented using dedicated opponent processing circuits, Here we present a neural networks-based implementation of these principles, the behaviour of which has a good fit to the available data.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Neural Networks, Human Perception, Motor Control, Inhibition
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 18:00
Last Modified: 12 May 2014 14:13
Resource URI: https://kar.kent.ac.uk/id/eprint/13788 (The current URI for this page, for reference purposes)
  • Depositors only (login required):