Literature DB >> 33034850

Incentive value and spatial certainty combine additively to determine visual priorities.

K G Garner1,2, H Bowman3, J E Raymond3.   

Abstract

How does the brain combine information predictive of the value of a visually guided task (incentive value) with information predictive of where task-relevant stimuli may occur (spatial certainty)? Human behavioural evidence indicates that these two predictions may be combined additively to bias visual selection (Additive Hypothesis), whereas neuroeconomic studies posit that they may be multiplicatively combined (Expected Value Hypothesis). We sought to adjudicate between these two alternatives. Participants viewed two coloured placeholders that specified the potential value of correctly identifying an imminent letter target if it appeared in that placeholder. Then, prior to the target's presentation, an endogenous spatial cue was presented indicating the target's more likely location. Spatial cues were parametrically manipulated with regard to the information gained (in bits). Across two experiments, performance was better for targets appearing in high versus low value placeholders and better when targets appeared in validly cued locations. Interestingly, as shown with a Bayesian model selection approach, these effects did not interact, clearly supporting the Additive Hypothesis. Even when conditions were adjusted to increase the optimality of a multiplicative operation, support for it remained. These findings refute recent theories that expected value computations are the singular mechanism driving the deployment of endogenous spatial attention. Instead, incentive value and spatial certainty seem to act independently to influence visual selection.

Entities:  

Keywords:  Attention; Expectation; Incentive; Prediction; Reward

Mesh:

Year:  2021        PMID: 33034850      PMCID: PMC7875944          DOI: 10.3758/s13414-020-02124-w

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  48 in total

1.  The representation of economic value in the orbitofrontal cortex is invariant for changes of menu.

Authors:  Camillo Padoa-Schioppa; John A Assad
Journal:  Nat Neurosci       Date:  2007-12-09       Impact factor: 24.884

2.  Value-based attentional capture influences context-dependent decision-making.

Authors:  Sirawaj Itthipuripat; Kexin Cha; Napat Rangsipat; John T Serences
Journal:  J Neurophysiol       Date:  2015-05-20       Impact factor: 2.714

3.  Priority maps explain the roles of value, attention, and salience in goal-oriented behavior.

Authors:  P Christiaan Klink; Pia Jentgens; Jeannette A M Lorteije
Journal:  J Neurosci       Date:  2014-10-15       Impact factor: 6.167

4.  Resolving the controversy of the proportion validity effect: Volitional attention is not required, but may have an effect.

Authors:  Sophie N Lanthier; David W-L Wu; Craig S Chapman; Alan Kingstone
Journal:  Atten Percept Psychophys       Date:  2015-11       Impact factor: 2.199

Review 5.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

6.  A unified selection signal for attention and reward in primary visual cortex.

Authors:  Liviu Stănişor; Chris van der Togt; Cyriel M A Pennartz; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-15       Impact factor: 11.205

Review 7.  Neural mechanisms of selective visual attention.

Authors:  R Desimone; J Duncan
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

8.  Interactions of Motivation and Cognitive Control.

Authors:  Debbie M Yee; Todd S Braver
Journal:  Curr Opin Behav Sci       Date:  2017-11-24

9.  Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention.

Authors:  Simone Vossel; Christoph Mathys; Klaas E Stephan; Karl J Friston
Journal:  J Neurosci       Date:  2015-08-19       Impact factor: 6.167

10.  The impact of sample size on the reproducibility of voxel-based lesion-deficit mappings.

Authors:  Diego L Lorca-Puls; Andrea Gajardo-Vidal; Jitrachote White; Mohamed L Seghier; Alexander P Leff; David W Green; Jenny T Crinion; Philipp Ludersdorfer; Thomas M H Hope; Howard Bowman; Cathy J Price
Journal:  Neuropsychologia       Date:  2018-03-15       Impact factor: 3.139

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  1 in total

1.  On the Influence of Spatial and Value Attentional Cues Across Individuals.

Authors:  Kelly G Garner; Michelle Lovell-Kane; Luke Carroll; Paul E Dux
Journal:  J Cogn       Date:  2022-06-24
  1 in total

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