COGST 3300

Last Updated

  • Schedule of Classes - November 21, 2024 7:58PM EST
  • Course Catalog - November 21, 2024 7:07PM EST

COGST 3300
Introduction to Computational Neuroscience

Course information provided by the Courses of Study 2024-2025.

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, SDS-AS) (OPHLS-AG)

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.

View Enrollment Information

Syllabi:

  • 17991 COGST 3300   LEC 001

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  • Instruction Mode: In Person

Syllabi:

  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIONB 3300, BME 3300, COGST 3300, PSYCH 3300

  • 4 Credits Stdnt Opt

  • 17992 COGST 3300   LEC 002

  •  

  • Instruction Mode: In Person

  • 17993 COGST 3300   LAB 401

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    • TBA
    • Aug 26 - Dec 9, 2024

    • Linster, C

  • Instruction Mode: In Person