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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
S6K1 Inhibition-Mediated Changes in Motoneuron Properties in a Mouse Model of Amyotrophic Lateral Sclerosis

Description:

Amyotrophic lateral sclerosis (ALS) is characterized by progressive motoneuron loss. Autopsy from thoracic spinal tissues of sALS patients revealed a significant loss of large motoneurons while medium and small motoneurons were relatively unaffected. Using two-photon microscopy, we observed a soma hypertrophy of neonatal motoneurons in mice overexpressing mutant human G93A-superoxide...

Keyword:

Accounting and Neuroscience

Subject:

Interdepartmental Neuroscience Program (NUIN)

Creator:

Su-Wei Kuo

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/27/2018

Date Modified:

02/27/2018

Date Created:

2017-01-01

Resource Type:

Dissertation

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Machine learning approaches towards understanding movement planning in naturalistic settings

S6K1 Inhibition-Mediated Changes in Motoneuron Properties in a Mouse Model of Amyotrophic Lateral Sclerosis

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