Literature DB >> 16889479

Strategies optimize the detection of motion transients.

Geoffrey M Ghose1.   

Abstract

Strategies are implicitly formed when a task is consistent and can be used to improve performance. To investigate how strategies can alter perceptual performance, I trained animals in a reaction time (RT) detection task in which the probability of a fixed duration motion pulse appearing varied over time in a consistent manner. Consistent with previous studies suggesting the implicit representation of task timing, I found that RTs were inversely related to the probability of the pulse appearing and decreased with training. I then inferred the sensory integration underlying responses using behavioral reverse correlation analysis. This analysis revealed that training and anticipation optimized detection by improving the correlation between sensory integration and the spatiotemporal extent of the motion pulse. Moreover, I found that these improvements in sensory integration could largely explain observed changes in the distribution of RT with training and anticipation. These results suggest that training can increase detection performance by optimizing sensory integration according to implicitly formed representations of the likelihood and nature of the stimulus.

Mesh:

Year:  2006        PMID: 16889479      PMCID: PMC3719398          DOI: 10.1167/6.4.10

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  58 in total

1.  Dependency of reaction times to motion onset on luminance and chromatic contrast.

Authors:  D C Burr; B Corsale
Journal:  Vision Res       Date:  2001-04       Impact factor: 1.886

2.  Dynamic properties of neurons in cortical area MT in alert and anaesthetized macaque monkeys.

Authors:  C C Pack; V K Berezovskii; R T Born
Journal:  Nature       Date:  2001 Dec 20-27       Impact factor: 49.962

3.  Temporal contextual cuing of visual attention.

Authors:  I R Olson; M M Chun
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2001-09       Impact factor: 3.051

4.  Temporal integration of optic flow, measured by contrast and coherence thresholds.

Authors:  D C Burr; L Santoro
Journal:  Vision Res       Date:  2001-07       Impact factor: 1.886

5.  Attentional modulation of behavioral performance and neuronal responses in middle temporal and ventral intraparietal areas of macaque monkey.

Authors:  Erik P Cook; John H R Maunsell
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

Review 6.  Orienting attention to instants in time.

Authors:  A C Nobre
Journal:  Neuropsychologia       Date:  2001       Impact factor: 3.139

7.  Attentional modulation in visual cortex depends on task timing.

Authors:  Geoffrey M Ghose; John H R Maunsell
Journal:  Nature       Date:  2002-10-10       Impact factor: 49.962

8.  Unconscious masked priming depends on temporal attention.

Authors:  Lionel Naccache; Elise Blandin; Stanislas Dehaene
Journal:  Psychol Sci       Date:  2002-09

9.  Temporal integration of random dot apparent motion information in human central vision.

Authors:  R E Fredericksen; F A Verstraten; W A Van de Grind
Journal:  Vision Res       Date:  1994-02       Impact factor: 1.886

10.  Spatiotemporal mechanisms for detecting and identifying image features in human vision.

Authors:  Peter Neri; David J Heeger
Journal:  Nat Neurosci       Date:  2002-08       Impact factor: 24.884

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  15 in total

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Authors:  Matthew A Carland; David Thura; Paul Cisek
Journal:  Psychon Bull Rev       Date:  2015-12

2.  Temporal precision of neuronal information in a rapid perceptual judgment.

Authors:  Geoffrey M Ghose; Ian T Harrison
Journal:  J Neurophysiol       Date:  2008-12-24       Impact factor: 2.714

3.  Decisions in changing conditions: the urgency-gating model.

Authors:  Paul Cisek; Geneviève Aude Puskas; Stephany El-Murr
Journal:  J Neurosci       Date:  2009-09-16       Impact factor: 6.167

4.  Attention directed by expectations enhances receptive fields in cortical area MT.

Authors:  Geoffrey M Ghose; David W Bearl
Journal:  Vision Res       Date:  2009-10-09       Impact factor: 1.886

5.  Inattention blindness to motion in middle temporal area.

Authors:  Ian T Harrison; Katherine F Weiner; Geoffrey M Ghose
Journal:  J Neurosci       Date:  2013-05-08       Impact factor: 6.167

6.  Population coding in area V4 during rapid shape detections.

Authors:  Katherine F Weiner; Geoffrey M Ghose
Journal:  J Neurophysiol       Date:  2015-03-18       Impact factor: 2.714

7.  Micropools of reliable area MT neurons explain rapid motion detection.

Authors:  Bryan M Krause; Geoffrey M Ghose
Journal:  J Neurophysiol       Date:  2018-08-01       Impact factor: 2.714

8.  Tracking the temporal evolution of a perceptual judgment using a compelled-response task.

Authors:  Swetha Shankar; Dino P Massoglia; Dantong Zhu; M Gabriela Costello; Terrence R Stanford; Emilio Salinas
Journal:  J Neurosci       Date:  2011-06-08       Impact factor: 6.167

9.  Interpreting temporal dynamics during sensory decision-making.

Authors:  Aaron J Levi; Alexander C Huk
Journal:  Curr Opin Physiol       Date:  2020-05-15

10.  Perceptual decision making in less than 30 milliseconds.

Authors:  Terrence R Stanford; Swetha Shankar; Dino P Massoglia; M Gabriela Costello; Emilio Salinas
Journal:  Nat Neurosci       Date:  2010-01-24       Impact factor: 24.884

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