School of Computing

Neural network modelling of inhibition in visuo-motor control

H. Bowman, A. Aron, F. Schlaghecken, and M. Eimer

In John A. Bullinaria and Will Lowe, editors, Proceedings of the Seventh Neural Computation and Psychology Workshop: Connectionist Models of Cognition and Perception, pages 182-196. World Scientific, September 2002.

Abstract

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.



Bibtex Record

@inproceedings{1342,
author = {H. Bowman and A. Aron and F. Schlaghecken and M. Eimer},
title = {Neural Network Modelling of Inhibition in Visuo-Motor Control},
month = {September},
year = {2002},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2002/1342},
    publication_type = {inproceedings},
    submission_id = {29856_1013166476},
    booktitle = {Proceedings of the Seventh Neural Computation and Psychology Workshop: Connectionist Models of Cognition and Perception},
    publisher = {World Scientific},
    refereed = {yes},
    editor = {John A. Bullinaria and Will Lowe},
}

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