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Filtering by: Keyword Frontal Eye Field Keyword Generalized Linear Model Keyword Premotor Cortex Subject Interdepartmental Neuroscience Program (NUIN)

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Machine learning approaches towards understanding movement planning in naturalistic settings

Description:

A central question in neuroscience is how the brain plans movements. Here, I apply neural data analysis and machine learning methods to better understand both eye and arm movement planning, in particular focusing on naturalistic settings. First, I built encoding models to investigate the factors that led to neural activity...

Keyword:

Frontal Eye Field, Generalized Linear Model, Saccade, Neuroscience, Premotor Cortex, and Machine Learning

Subject:

Interdepartmental Neuroscience Program (NUIN)

Creator:

Joshua I Glaser

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/22/2019

Date Modified:

02/22/2019

Date Created:

2018-01-01

Resource Type:

Dissertation

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Machine learning approaches towards understanding movement planning in naturalistic settings