Presentation Title

Nonparametric Analysis of Neuronal Data Over Multiple Experimental Conditions

Faculty Mentor

Valerie Poynor

Start Date

17-11-2018 12:30 PM

End Date

17-11-2018 2:30 PM

Location

HARBESON 38

Session

POSTER 2

Type of Presentation

Poster

Subject Area

health_nutrition_clinical_science

Abstract

In neuroscience, interest lies in the firing activity of neurons under various tasks, stimuli, and/or thought processes. In this research, we statistically analyze data from an experiment conducted on macaques to investigate neuronal activity in the Supplementary Eye Field (SEF) of the brain during visual stimuli. In particular, we compare the neuronal activity over eight experimental conditions by bootstrapping pairwise comparisons on the smoothed firing intensities.

Summary of research results to be presented

In this research, we statistically analyze data from an experiment conducted on macaques to investigate neuronal activity in the Supplementary Eye Field (SEF) of the brain during visual stimuli. In particular, we compare the neuronal activity over eight experimental conditions by bootstrapping pairwise comparisons on the smoothed firing intensities.

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Nov 17th, 12:30 PM Nov 17th, 2:30 PM

Nonparametric Analysis of Neuronal Data Over Multiple Experimental Conditions

HARBESON 38

In neuroscience, interest lies in the firing activity of neurons under various tasks, stimuli, and/or thought processes. In this research, we statistically analyze data from an experiment conducted on macaques to investigate neuronal activity in the Supplementary Eye Field (SEF) of the brain during visual stimuli. In particular, we compare the neuronal activity over eight experimental conditions by bootstrapping pairwise comparisons on the smoothed firing intensities.