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A refined neuronal population measure of visual attention

Mayo, JP and Cohen, MR and Maunsell, JHR (2015) A refined neuronal population measure of visual attention. PLoS ONE, 10 (8).

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Neurophysiological studies of cognitive mechanisms such as visual attention typically ignore trial-by-trial variability and instead report mean differences averaged across many trials. Advances in electrophysiology allow for the simultaneous recording of small populations of neurons, which may obviate the need for averaging activity over trials. We recently introduced a method called the attention axis that uses multi-electrode recordings to provide estimates of attentional state of behaving monkeys on individual trials. Here, we refine this method to eliminate problems that can cause bias in estimates of attentional state in certain scenarios. We demonstrate the sources of these problems using simulations and propose an amendment to the previous formulation that provides superior performance in trial-bytrial assessments of attentional state. Copyright:


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Mayo, JPMAYOJP@pitt.eduMAYOJP0000-0001-5696-4667
Cohen, MRcohenm@pitt.eduCOHENM
Maunsell, JHR
ContributionContributors NameEmailPitt UsernameORCID
Date: 21 August 2015
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: PLoS ONE
Volume: 10
Number: 8
DOI or Unique Handle: 10.1371/journal.pone.0136570
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Neuroscience
Refereed: Yes
Date Deposited: 23 Aug 2016 14:29
Last Modified: 31 May 2023 02:55


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