Selective attention model of moving objects

Document Type

Journal Article

Publication Date

2009

Keywords

Partial synchronization, Visual pointer, Object tracking, Phase oscillator, Spiking neuron model

Abstract

Tracking moving objects is a vital visual task for the survival of an animal. We describe oscillatory neural network models of visual attention with a central element that can track a moving target among a set of distracters on the screen. At the initial stage, the model forms the focus of attention on an arbitrary object that is considered as a target. Other objects are treated as distracters. We present here two models: 1) synchronisation based model designed as a network of phase oscillators and 2) spiking neural model which is based on the idea of resourcelimited parallel visual pointers. Selective attention and the tracking process are represented by the partial synchronisation between the central unit and a subgroup of peripheral elements. Simulation results are in overall agreement with the findings from psychological experiments: overlapping between the target and distractors is the main source of errors.

Source Publication

Neural Network World

Volume Number

19

Issue Number

5

First Page

429

Last Page

445

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