Literature DB >> 19420247

The effect of microsaccades on the correlation between neural activity and behavior in middle temporal, ventral intraparietal, and lateral intraparietal areas.

Todd M Herrington1, Nicolas Y Masse, Karim J Hachmeh, Jackson E T Smith, John A Assad, Erik P Cook.   

Abstract

It is widely reported that the activity of single neurons in visual cortex is correlated with the perceptual decision of the subject. The strength of this correlation has implications for the neuronal populations generating the percepts. Here we asked whether microsaccades, which are small, involuntary eye movements, contribute to the correlation between neural activity and behavior. We analyzed data from three different visual detection experiments, with neural recordings from the middle temporal (MT), lateral intraparietal (LIP), and ventral intraparietal (VIP) areas. All three experiments used random dot motion stimuli, with the animals required to detect a transient or sustained change in the speed or strength of motion. We found that microsaccades suppressed neural activity and inhibited detection of the motion stimulus, contributing to the correlation between neural activity and detection behavior. Microsaccades accounted for as much as 19% of the correlation for area MT, 21% for area LIP, and 17% for VIP. While microsaccades only explain part of the correlation between neural activity and behavior, their effect has implications when considering the neuronal populations underlying perceptual decisions.

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Year:  2009        PMID: 19420247      PMCID: PMC2904875          DOI: 10.1523/JNEUROSCI.4412-08.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  46 in total

1.  A METHOD OF MEASURING EYE MOVEMENT USING A SCLERAL SEARCH COIL IN A MAGNETIC FIELD.

Authors:  D A ROBINSON
Journal:  IEEE Trans Biomed Eng       Date:  1963-10       Impact factor: 4.538

2.  Determination of the stimuli for involuntary drifts and saccadic eye movements.

Authors:  T N CORNSWEET
Journal:  J Opt Soc Am       Date:  1956-11

3.  Neural population code for fine perceptual decisions in area MT.

Authors:  Gopathy Purushothaman; David C Bradley
Journal:  Nat Neurosci       Date:  2004-12-19       Impact factor: 24.884

4.  Correlation between speed perception and neural activity in the middle temporal visual area.

Authors:  Jing Liu; William T Newsome
Journal:  J Neurosci       Date:  2005-01-19       Impact factor: 6.167

5.  Neuronal correlates of subjective sensory experience.

Authors:  Victor de Lafuente; Ranulfo Romo
Journal:  Nat Neurosci       Date:  2005-11-06       Impact factor: 24.884

6.  Neural correlates of fine depth discrimination in monkey inferior temporal cortex.

Authors:  Takanori Uka; Seiji Tanabe; Masayuki Watanabe; Ichiro Fujita
Journal:  J Neurosci       Date:  2005-11-16       Impact factor: 6.167

7.  Microsaccades counteract visual fading during fixation.

Authors:  Susana Martinez-Conde; Stephen L Macknik; Xoana G Troncoso; Thomas A Dyar
Journal:  Neuron       Date:  2006-01-19       Impact factor: 17.173

8.  A jitter after-effect reveals motion-based stabilization of vision.

Authors:  I Murakami; P Cavanagh
Journal:  Nature       Date:  1998-10-22       Impact factor: 49.962

9.  The influence of fixational eye movements on the response of neurons in area MT of the macaque.

Authors:  W Bair; L P O'Keefe
Journal:  Vis Neurosci       Date:  1998 Jul-Aug       Impact factor: 3.241

10.  Neural activity in macaque parietal cortex reflects temporal integration of visual motion signals during perceptual decision making.

Authors:  Alexander C Huk; Michael N Shadlen
Journal:  J Neurosci       Date:  2005-11-09       Impact factor: 6.709

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  41 in total

1.  Similarity of superior colliculus involvement in microsaccade and saccade generation.

Authors:  Ziad M Hafed; Richard J Krauzlis
Journal:  J Neurophysiol       Date:  2012-01-11       Impact factor: 2.714

2.  Temporal sequence of attentional modulation in the lateral intraparietal area and middle temporal area during rapid covert shifts of attention.

Authors:  Todd M Herrington; John A Assad
Journal:  J Neurosci       Date:  2010-03-03       Impact factor: 6.167

3.  A functional link between MT neurons and depth perception based on motion parallax.

Authors:  HyungGoo R Kim; Dora E Angelaki; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2015-02-11       Impact factor: 6.167

4.  Predicting Perceptual Decisions Using Visual Cortical Population Responses and Choice History.

Authors:  Anna Ivic Jasper; Seiji Tanabe; Adam Kohn
Journal:  J Neurosci       Date:  2019-06-24       Impact factor: 6.167

5.  Sequential hemifield gating of α- and β-behavioral performance oscillations after microsaccades.

Authors:  Joachim Bellet; Chih-Yang Chen; Ziad M Hafed
Journal:  J Neurophysiol       Date:  2017-08-09       Impact factor: 2.714

6.  Potential confounds in estimating trial-to-trial correlations between neuronal response and behavior using choice probabilities.

Authors:  Incheol Kang; John H R Maunsell
Journal:  J Neurophysiol       Date:  2012-09-19       Impact factor: 2.714

Review 7.  The impact of microsaccades on vision: towards a unified theory of saccadic function.

Authors:  Susana Martinez-Conde; Jorge Otero-Millan; Stephen L Macknik
Journal:  Nat Rev Neurosci       Date:  2013-02       Impact factor: 34.870

Review 8.  Temporal Coding of Visual Space.

Authors:  Michele Rucci; Ehud Ahissar; David Burr
Journal:  Trends Cogn Sci       Date:  2018-10       Impact factor: 20.229

9.  Directing Voluntary Temporal Attention Increases Fixational Stability.

Authors:  Rachel N Denison; Shlomit Yuval-Greenberg; Marisa Carrasco
Journal:  J Neurosci       Date:  2018-11-20       Impact factor: 6.167

10.  Antagonistic Interactions Between Microsaccades and Evidence Accumulation Processes During Decision Formation.

Authors:  Gerard M Loughnane; Daniel P Newman; Sarita Tamang; Simon P Kelly; Redmond G O'Connell
Journal:  J Neurosci       Date:  2018-01-25       Impact factor: 6.167

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