PSY435
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PSY435 - Computational Neuroscience: Analyses of Single & Multi-Units of Neural Data
Course ID
042967
Course Description
Major advances in neuroscience are often accompanied by new and creative ways of analyzing and displaying data. This course will cover the basic methods available for the analyses of point processes (e.g. single unit and multi-units neural recordings). The course will be divided into a theoretical portion, where the methods and their limitations will be discussed and a practical portion where students will be required to implement them.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Course Requisites
Knowledge of Matlab and of some basic neurobiology are strongly recommended.
May be convened with
PSY535
Component
Seminar
Optional Component
No