Literature DB >> 35583976

Behavior in a visual search task with moving dot stimuli.

Yelda Alkan1, Koorosh Mirpour1, James W Bisley1,2,3.   

Abstract

Understanding the neuronal mechanisms underlying the processing of visual attention requires a well-designed behavioral task that allows investigators to clearly describe the behavioral effects of attention. Here, we introduce a behavioral paradigm in which one, two or four moving dot stimuli are used in a visual search paradigm that includes two additional attentional conditions. Two animals were trained to make a saccade to a target (a dot patch with net rightward motion) and hold central fixation if no target was present. To implement covert visual attention, we included trials in which a 100% valid spatial cue appeared and trials in which the color of the fixation point indicated, with 100% validity, which of four colored dot patches the animals should attend to. We analyzed the behavior in terms of reaction times and signal detection theory metrics d-prime (representing sensitivity) and criteria. In both animals, we found that reaction times were greater for larger set-sizes and that the introduction of an attentional cue reduced the reaction times substantially. We also found that both animals showed increases in criteria, but no change in sensitivity, as set-size increased and the attentional cues led to an increase in sensitivity, with only some change in criteria. Our results illustrate how the animals perform this task and imply that both animals chose similar strategies. Importantly, this will allow future neurophysiological studies to probe not only the effects of attention, but will give the possibility of seeing whether different neural mechanisms drive changes in criteria and d-prime.

Entities:  

Keywords:  attention; behavior; visual search

Year:  2022        PMID: 35583976      PMCID: PMC9169819          DOI: 10.1152/jn.00375.2021

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.974


  27 in total

1.  Eye-hand coordination: saccades are faster when accompanied by a coordinated arm movement.

Authors:  Lawrence H Snyder; Jeffrey L Calton; Anthony R Dickinson; Bonnie M Lawrence
Journal:  J Neurophysiol       Date:  2002-05       Impact factor: 2.714

2.  Search efficiency but not response interference affects visual selection in frontal eye field.

Authors:  T Sato; A Murthy; K G Thompson; J D Schall
Journal:  Neuron       Date:  2001-05       Impact factor: 17.173

3.  A role for neural integrators in perceptual decision making.

Authors:  Mark E Mazurek; Jamie D Roitman; Jochen Ditterich; Michael N Shadlen
Journal:  Cereb Cortex       Date:  2003-11       Impact factor: 5.357

4.  Neuronal activity in the lateral intraparietal area and spatial attention.

Authors:  James W Bisley; Michael E Goldberg
Journal:  Science       Date:  2003-01-03       Impact factor: 47.728

5.  Been there, seen that: a neural mechanism for performing efficient visual search.

Authors:  Koorosh Mirpour; Fabrice Arcizet; Wei Song Ong; James W Bisley
Journal:  J Neurophysiol       Date:  2009-10-07       Impact factor: 2.714

6.  Does the Superior Colliculus Control Perceptual Sensitivity or Choice Bias during Attention? Evidence from a Multialternative Decision Framework.

Authors:  Devarajan Sridharan; Nicholas A Steinmetz; Tirin Moore; Eric I Knudsen
Journal:  J Neurosci       Date:  2017-01-18       Impact factor: 6.167

7.  From salience to saccades: multiple-alternative gated stochastic accumulator model of visual search.

Authors:  Braden A Purcell; Jeffrey D Schall; Gordon D Logan; Thomas J Palmeri
Journal:  J Neurosci       Date:  2012-03-07       Impact factor: 6.167

8.  NIMH MonkeyLogic: Behavioral control and data acquisition in MATLAB.

Authors:  Jaewon Hwang; Andrew R Mitz; Elisabeth A Murray
Journal:  J Neurosci Methods       Date:  2019-05-06       Impact factor: 2.390

9.  Neuronal Modulations in Visual Cortex Are Associated with Only One of Multiple Components of Attention.

Authors:  Thomas Zhihao Luo; John H R Maunsell
Journal:  Neuron       Date:  2015-06-03       Impact factor: 17.173

10.  Neurally constrained modeling of perceptual decision making.

Authors:  Braden A Purcell; Richard P Heitz; Jeremiah Y Cohen; Jeffrey D Schall; Gordon D Logan; Thomas J Palmeri
Journal:  Psychol Rev       Date:  2010-10       Impact factor: 8.934

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