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A solution to the tag-assignment problem for neural networks

Published online by Cambridge University Press:  04 February 2010

Gary W. Strong  and
Bruce A. Whitehead
Gary W. Strong
Affiliation:
College of Information Studies, Drexel University, Philadelphia, PA 19104 Electronic mail:strong@duvm.bitnet*
Bruce A. Whitehead
Affiliation:
Computer Science Program, University of Tennessee Space Institute, Tullahoma, TN 37388 Electronic mail:whitehea@utkvx.bitnet
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Abstract

Purely parallel neural networks can model object recognition in brief displays – the same conditions under which illusory conjunctions (the incorrect combination of features into perceived objects in a stimulus array) have been demonstrated empirically (Treisman 1986; Treisman & Gelade 1980). Correcting errors of illusory conjunction is the “tag-assignment” problem for a purely parallel processor: the problem of assigning a spatial tag to nonspatial features, feature combinations, and objects. This problem must be solved to model human object recognition over a longer time scale. Our model simulates both the parallel processes that may underlie illusory conjunctions and the serial processes that may solve the tag-assignment problem in normal perception. One component of the model extracts pooled features and another provides attentional tags that correct illusory conjunctions. Our approach addresses two questions: (i) How can objects be identified from simultaneously attended features in a parallel, distributed representation? (ii) How can the spatial selectional requirements of such an attentional process be met by a separation of pathways for spatial and nonspatial processing? Our analysis of these questions yields a neurally plausible simulation of tag assignment based on synchronizing feature processing activity in a spatial focus of attention.

Keywords

affordanceattentionconnectionist networkeye movementsillusory conjunctionneural networkobject recognitionretinotopic representationssaccadesspatial localization

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Type
Target Article
Information
Behavioral and Brain Sciences , Volume 12 , Issue 3 , September 1989 , pp. 381 - 397
Copyright
Copyright © Cambridge University Press 1989

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