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Start Over Area of Honors Engineering Science Year 2020 Author Last Name Pannone

1. Enhancing EEG Classification by Using Neuromorphic Computing and Artificial Neural Network Analysis

open_access

Open Access

Author:: Pannone, Andrew
Title:: Enhancing EEG Classification by Using Neuromorphic Computing and Artificial Neural Network Analysis
Area of Honors:: Engineering Science
Keywords:: Neural Network
EEG
Neuromorphic Computing
Handwriting Recognition
File:: Download Pannone_Thesis_Final_Edition_SHC.pdf
Thesis Supervisors:: Saptarshi Das, Thesis Supervisor
Lucas Jay Passmore, Thesis Honors Advisor