Literature DB >> 19686771

Temporal integration of sensory evidence for saccade target selection.

Casimir J H Ludwig1.   

Abstract

Perceptual decision-making may be viewed as a process of integrating sensory evidence over time to a response threshold. Ludwig et al. (2005b) argued against an integration to threshold account for saccadic eye movement decisions based on data from a stochastic contrast discrimination task. They argued that evidence integration was time-limited, with the deadline being independent from the quality of the sensory evidence. In this study, the data from Ludwig et al. (2005b) were fit with a model in which sensory evidence is integrated to a time-varying threshold. The functional form of the threshold variation allowed the model to approximate a constant threshold as well as an abrupt deadline. Sensory evidence was computed on the basis of a temporally blurred representation of the stimulus sequence. The model provides an overall good fit to the latency and accuracy data. Its predictions are consistent with a short window of evidence integration, as proposed in the original study. The model produces qualitatively correct predictions for an experiment in which the availability of sensory evidence is varied systematically. Inspection of the model parameters, however, shows that integration was not terminated by an abrupt deadline, although a rather gradual deadline signal improved the fit for some observers.

Mesh:

Year:  2009        PMID: 19686771     DOI: 10.1016/j.visres.2009.08.012

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


  9 in total

1.  Foveal analysis and peripheral selection during active visual sampling.

Authors:  Casimir J H Ludwig; J Rhys Davies; Miguel P Eckstein
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-02       Impact factor: 11.205

2.  Saccade target selection relies on feedback competitive signal integration.

Authors:  Joke P Kalisvaart; André J Noest; Albert V van den Berg; Jeroen Goossens
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

3.  Timing of saccadic eye movements during visual search for multiple targets.

Authors:  Chia-Chien Wu; Eileen Kowler
Journal:  J Vis       Date:  2013-09-18       Impact factor: 2.240

Review 4.  Eye movements: the past 25 years.

Authors:  Eileen Kowler
Journal:  Vision Res       Date:  2011-01-13       Impact factor: 1.886

5.  Optimal and human eye movements to clustered low value cues to increase decision rewards during search.

Authors:  Miguel P Eckstein; Wade Schoonveld; Sheng Zhang; Stephen C Mack; Emre Akbas
Journal:  Vision Res       Date:  2015-06-17       Impact factor: 1.886

6.  Testing a simplified method for measuring velocity integration in saccades using a manipulation of target contrast.

Authors:  Peter J Etchells; Christopher P Benton; Casimir J H Ludwig; Iain D Gilchrist
Journal:  Front Psychol       Date:  2011-05-26

7.  Non-monotonic Temporal-Weighting Indicates a Dynamically Modulated Evidence-Integration Mechanism.

Authors:  Zohar Z Bronfman; Noam Brezis; Marius Usher
Journal:  PLoS Comput Biol       Date:  2016-02-11       Impact factor: 4.475

8.  Overcoming indecision by changing the decision boundary.

Authors:  Gaurav Malhotra; David S Leslie; Casimir J H Ludwig; Rafal Bogacz
Journal:  J Exp Psychol Gen       Date:  2017-04-13

9.  Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.

Authors:  Yanping Huang; Rajesh P N Rao
Journal:  PLoS One       Date:  2013-01-22       Impact factor: 3.240

  9 in total

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