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Graduate Degree Programs

These course descriptions are not being updated as of August 1, 2016. Current course descriptions are maintained in LionPATH.

Engineering Science (E SC)

E SC 555 Neuroscience Data Analysis (3) Modern methods for the analysis of neural data.

E SC 555 Neuroscience Data Analysis (3)

Modern neuroscience experimental methods can generate enormous amounts of complicated data, and a wealth of techniques has sprung up drawing from a wide variety of fields to analyze it. In this course, students will learn how to utilize a toolbox of mathematical and computational techniques to analyze electrophysiological, optical and anatomical data. This course will cover the biophysical origin and measurement of brain signals, as well as the theoretical background of modern analysis methods and their practical implementation. Topics covered include spectral methods, neural encoding and decoding, information theory and image analysis.


General Education: None
Diversity: None
Bachelor of Arts: None
Effective: Summer 2015
Prerequisite: Prerequisite or concurrent:BIOL 469 or equivalent

Note : Class size, frequency of offering, and evaluation methods will vary by location and instructor. For these details check the specific course syllabus.

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