NEU151
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NEU 151 - Introduction to Computational Neuroscience
Course Title
Introduction to Computational Neuroscience
Course Description
This course is an introduction to the theories and application of computational methods to neuroscience. Students will learn how computational methods are applied to cellular processes, sensory coding, learning and memory, and cognitive processes. The major focus is on the mammalian brain, but we will also discuss principles from other organisms. By the end of the course, students will have a strong understanding of the computational principles for neural circuit function, and the neurobiological basis of behavior.
Minimum Units
3
Maximum Units
3
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Prerequisites
NEU 100A and NEU 100B
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Formats
Lecture, Discussion
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
2
Lecture Hours Min
2
Lecture Hours Max
2
Lecture Mode of Instruction
In Person
Discussion Hours
1
Discussion Hours Min
1
Discussion Hours Max
1
Discussion Mode of Instruction
In Person
Outside Work Hours
6
Outside Work Hours Min
6
Outside Work Hours Max
6