Literature DB >> 10903577

The influence of urgency on decision time.

B A Reddi1, R H Carpenter.   

Abstract

A fruitful quantitative approach to understanding how the brain makes decisions has been to look at the time needed to make a decision, and how it is affected by factors such as the supply of information, or an individual's expectations. This approach has led to a model of decision-making, consistent with recent neurophysiological data, that explains the observed variability of reaction times and correctly predicts the effects of altered expectations. Can it also predict what happens when the urgency of making the response changes? We asked subjects to make eye movements to low-visibility targets either as fast or as accurately as possible, and found that the model does indeed predict the timing of their responses: the degree of urgency seems to influence the criterion level at which a decision signal triggers a response.

Mesh:

Year:  2000        PMID: 10903577     DOI: 10.1038/77739

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  141 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.  Continuous detection of weak sensory signals in afferent spike trains: the role of anti-correlated interspike intervals in detection performance.

Authors:  J B M Goense; R Ratnam
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-08-14       Impact factor: 1.836

3.  Visual fixations and the computation and comparison of value in simple choice.

Authors:  Ian Krajbich; Carrie Armel; Antonio Rangel
Journal:  Nat Neurosci       Date:  2010-09-12       Impact factor: 24.884

4.  Dual-task costs and benefits in anti-saccade performance.

Authors:  David R Evens; Casimir J H Ludwig
Journal:  Exp Brain Res       Date:  2010-08-17       Impact factor: 1.972

5.  Clocking perceptual processing speed: From chance to 75% correct in less than 30 milliseconds.

Authors:  Terrence R Stanford; Emilio Salinas
Journal:  Commun Integr Biol       Date:  2010-05

6.  A symbolic/subsymbolic interface protocol for cognitive modeling.

Authors:  Patrick Simen; Thad Polk
Journal:  Log J IGPL       Date:  2010-10-01       Impact factor: 0.861

7.  Inactivation of primate superior colliculus biases target choice for smooth pursuit, saccades, and button press responses.

Authors:  Samuel U Nummela; Richard J Krauzlis
Journal:  J Neurophysiol       Date:  2010-07-21       Impact factor: 2.714

8.  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

9.  Properties of saccades generated as a choice response.

Authors:  Kyoung-Min Lee; Edward L Keller; Stephen J Heinen
Journal:  Exp Brain Res       Date:  2004-12-10       Impact factor: 1.972

10.  A model of time estimation and error feedback in predictive timing behavior.

Authors:  Wilsaan M Joiner; Mark Shelhamer
Journal:  J Comput Neurosci       Date:  2008-06-19       Impact factor: 1.621

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