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TimeTue/Thu 10:30 ~ 12:00
Teacher Assistance한승현/Han Seunghyeon
Course DescriptionThis class provide basic and advanced knowledge about signal processing theory for the research of biomedical signals as well as neuroscience. In addition, students will enhance their ability to implement signal processing theories and analyze the physiological signals using programming tools such as MATLAB. Textbook & References Wim van Drongelen, "Signal Processing for Neuroscientists (2nd ED)," Academic Press, 2018, John L. Semmlow,

TimeTue/Thu 10:30 ~ 12:00
Teacher AssistanceDere Mustapha deji
Course DescriptionNeuroinformatics is the field to investigate the brain function with the information science methods and generally covers the studies regarding brain connections, neuronal networks, nervous systems’ genes and proteins, etc. The goal of this class is to learn the basic theories for the information processing and then how to apply them for the real neuronal data analysis. Textbooks: 1. "Advanced Data Analysis in Neuroscience", Springers 2017 (Daniel Durstewitz) 2. "Statistical Signal Processing for Neuroscience and Neurotechnology", Academic Press 2010 (Karim G. Oweiss) References: 1. "Handbook of Bio-/Neuro-Informatics", Springer 2014 (Nikola Kasabov) 2. "Analysis of Neural Data", Springer 2014 (Robert E. Kass, Uri T. Eden, Emery N. Brown)

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