Correlation Analysis of Reward Modulation in Motor Cortex of Nonhuman Primates

dc.contributor.advisorFrancis, Joseph T.
dc.contributor.committeeMemberInce, Nuri F.
dc.contributor.committeeMemberZhang, Yingchun
dc.creatorMoore, Brittany
dc.date.accessioned2019-05-23T13:20:52Z
dc.date.createdAugust 2018
dc.date.issued2018-08
dc.date.submittedAugust 2018
dc.date.updated2019-05-23T13:20:52Z
dc.description.abstractReward modulation is represented in the motor cortex and can be used to implement more accurate decoding models to improve brain machine interfaces. Analyzing the trial-to-trial noise correlations between units in the presence of rewarding and non-rewarding stimuli adds to our understanding of cortical network dynamics and provides a clearer picture of the neural encoding involved in reward. Using Pearson’s correlation coefficient to measure shared variability between units indicates significantly higher noise correlation in non-rewarding trials. This pattern is evident in multiple NHPs during both manual tasks and action observation. The isolation of reward discriminatory units demonstrates similar changes in correlation, further supporting the hypothesis that correlation affects encoding accuracy and can be used as a tool in interpreting modulatory neural responses.
dc.description.departmentBiomedical Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657/3964
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectNoise correlation
dc.subjectRewards
dc.subjectMotor cortex
dc.subjectMotor functions
dc.titleCorrelation Analysis of Reward Modulation in Motor Cortex of Nonhuman Primates
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2020-08-01
local.embargo.terms2020-08-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentBiomedical Engineering, Department of
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Biomedical Engineering

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