Literature DB >> 11718785

Saccadic choice with asynchronous targets: evidence for independent randomisation.

J C Leach1, R H Carpenter.   

Abstract

In the LATER model, randomness of saccadic latency arises through random variation in the rate of rise of the decision signal. But does it vary independently at different locations? If so, when pairs of targets are presented asynchronously, and the participant makes a saccade to the more salient one, the choice of target should be stochastic. Further, it should be possible to predict the probabilities at different asynchronies from the latency distributions for each target on its own. This study verifies the prediction in human subjects. In the real world, independent random variation of latency at different locations will give rise to randomness of choice of target.

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Year:  2001        PMID: 11718785     DOI: 10.1016/s0042-6989(01)00059-1

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


  17 in total

1.  The timing of sequences of saccades in visual search.

Authors:  E M Van Loon; I Th C Hooge; A V Van den Berg
Journal:  Proc Biol Sci       Date:  2002-08-07       Impact factor: 5.349

2.  Ultrafast initiation of a neural race by impending errors.

Authors:  Imran Noorani; R H S Carpenter
Journal:  J Physiol       Date:  2015-08-19       Impact factor: 5.182

3.  Neural bases of individual variation in decision time.

Authors:  Sien Hu; Yuan-Chi Tseng; Alissa D Winkler; Chiang-Shan R Li
Journal:  Hum Brain Mapp       Date:  2013-09-11       Impact factor: 5.038

4.  Volition and conflict in human medial frontal cortex.

Authors:  Parashkev Nachev; Geraint Rees; Andrew Parton; Christopher Kennard; Masud Husain
Journal:  Curr Biol       Date:  2005-01-26       Impact factor: 10.834

5.  A single mechanism for the timing of spontaneous and evoked saccades.

Authors:  J C P Roos; D M Calandrini; R H S Carpenter
Journal:  Exp Brain Res       Date:  2008-02-19       Impact factor: 1.972

6.  Dual LATER-unit model predicts saccadic reaction time distributions in gap, step and appearance tasks.

Authors:  Giles W Story; R H S Carpenter
Journal:  Exp Brain Res       Date:  2008-11-05       Impact factor: 1.972

7.  A simple two-stage model predicts response time distributions.

Authors:  R H S Carpenter; B A J Reddi; A J Anderson
Journal:  J Physiol       Date:  2009-06-29       Impact factor: 5.182

8.  Neck-shortening effect on prosaccade reaction time formed through saccadic training accompanied by maintenance of neck flexion.

Authors:  Kenji Kunita; Katsuo Fujiwara
Journal:  Eur J Appl Physiol       Date:  2009-08-27       Impact factor: 3.078

9.  Predicting the timing of wrong decisions with LATER.

Authors:  Imran Noorani; Mia Jing Gao; B C Pearson; R H S Carpenter
Journal:  Exp Brain Res       Date:  2011-02-19       Impact factor: 1.972

10.  When your eyes see more than you do.

Authors:  Abtine Tavassoli; Dario L Ringach
Journal:  Curr Biol       Date:  2010-02-09       Impact factor: 10.834

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