COGST 3300
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
COGST 3300
Course Description
Course information provided by the Courses of Study 2022-2023.
Covers the basic ideas and techniques involved in computational neuroscience. Surveys diverse topics, including neural dynamics of small networks of cells, neural coding, learning in neural networks and in brain structures, memory models of the hippocampus, sensory coding, and others.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: BIONB 2220 or permission of instructor.
Distribution Category (BIO-AS, PBS-AS, SDS-AS)
Comments Lab will provide additional computer simulation exercises. Offered in even-numbered years only.
Outcomes- Basic understanding of current theories of brain function.
- How to construct representations from tuning curves.
- Plasticity and how it relates to memory.
- Models of human memory.
Regular Academic Session. Combined with: BIONB 3300, BME 3300, COGST 3300, PSYCH 3300
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MW Bradfield Hall 101
- Aug 22 - Dec 5, 2022
Instructors
Linster, C
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Additional Information
Instruction Mode: In Person
Prerequisite: BioNB 2220 or permission of instructor
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BIONB 3300, BME 3300, COGST 3300, PSYCH 3300
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Bradfield Hall 101
- Aug 22 - Dec 5, 2022
Instructors
Linster, C
-
Additional Information
Instruction Mode: In Person
Prerequisite: BioNB 2220 or permission of instructor
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