Literature DB >> 14680776

A dynamic model of how feature cues guide spatial attention.

Fred H Hamker1.   

Abstract

We will describe a computational model of attention which explains the guidance of spatial attention by feedback within a distributed network. We hypothesize that feedback within the ventral pathway transfers the target template from prefrontal areas into intermediate areas like V4. The oculomotor circuit consisting of FEF, LIP and superior colliculus picks up this distributed activity and provides a continuous spatial reentry signal from premotor cells. In order to test this hypothesis, we simulate two experiments that require a response given a color cue. The first experiment indicates a parallel feature-based enhancement prior to any spatial selection. If two targets are behaviorally relevant, as in the second experiment, experimental findings indicate that subjects split their attention between two locations containing the searched feature. Our simulation results suggest that the split in attention between two foci is a transient effect occurring during competition. We predict that the time after cue presentation determines the state of this competition and ultimately the distribution of attention at different locations. In addition we provide simulation results to explain how reentrant processing through the oculomotor circuit might lead to variations of the time for target detection in visual search.

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Mesh:

Year:  2004        PMID: 14680776     DOI: 10.1016/j.visres.2003.09.033

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  35 in total

1.  Attention alters feature space in motion processing.

Authors:  Marc Zirnsak; Fred H Hamker
Journal:  J Neurosci       Date:  2010-05-19       Impact factor: 6.167

2.  Neuronal dynamics of bottom-up and top-down processes in area V4 of macaque monkeys performing a visual search.

Authors:  Tadashi Ogawa; Hidehiko Komatsu
Journal:  Exp Brain Res       Date:  2006-02-28       Impact factor: 1.972

3.  Losing sight of the bigger picture: peripheral field loss compresses representations of space.

Authors:  Francesca C Fortenbaugh; John C Hicks; Lei Hao; Kathleen A Turano
Journal:  Vision Res       Date:  2007-08-10       Impact factor: 1.886

4.  An integrated microcircuit model of attentional processing in the neocortex.

Authors:  Salva Ardid; Xiao-Jing Wang; Albert Compte
Journal:  J Neurosci       Date:  2007-08-08       Impact factor: 6.167

Review 5.  Saccadic eye movement programming: sensory and attentional factors.

Authors:  John M Findlay
Journal:  Psychol Res       Date:  2008-12-16

6.  The architecture of interaction between visual working memory and visual attention.

Authors:  Brett Bahle; Valerie M Beck; Andrew Hollingworth
Journal:  J Exp Psychol Hum Percept Perform       Date:  2018-04-09       Impact factor: 3.332

Review 7.  Computational models of spatial updating in peri-saccadic perception.

Authors:  Fred H Hamker; Marc Zirnsak; Arnold Ziesche; Markus Lappe
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-02-27       Impact factor: 6.237

8.  Sensorimotor supremacy: Investigating conscious and unconscious vision by masked priming.

Authors:  Ulrich Ansorge; Odmar Neumann; Stefanie I Becker; Holger Kälberer; Holk Cruse
Journal:  Adv Cogn Psychol       Date:  2008-07-15

9.  Influence of low-level stimulus features, task dependent factors, and spatial biases on overt visual attention.

Authors:  Sepp Kollmorgen; Nora Nortmann; Sylvia Schröder; Peter König
Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

10.  Visual and motor connectivity and the distribution of calcium-binding proteins in macaque frontal eye field: implications for saccade target selection.

Authors:  Pierre Pouget; Iwona Stepniewska; Erin A Crowder; Melanie W Leslie; Erik E Emeric; Matthew J Nelson; Jeffrey D Schall
Journal:  Front Neuroanat       Date:  2009-05-22       Impact factor: 3.856

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