COGST 3300

COGST 3300

Course information provided by the Courses of Study 2022-2023. Courses of Study 2022-2023 is scheduled to publish mid-June.

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.

View Enrollment Information

Syllabi: none
  • 16676 COGST 3300   LEC 001

    • MW
    • Aug 22 - Dec 5, 2022
    • Linster, C

  • Instruction Mode: In Person
    Prerequisite: BioNB 2220 or permission of instructor

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BIONB 3300BME 3300COGST 3300PSYCH 3300

  • 4 Credits Stdnt Opt

  • 16707 COGST 3300   LEC 002

    • MW
    • Aug 22 - Dec 5, 2022
    • Linster, C

  • Instruction Mode: In Person
    Prerequisite: BioNB 2220 or permission of instructor

  • 16713 COGST 3300   LAB 401

    • TBA
    • Aug 22 - Dec 5, 2022
    • Linster, C

  • Instruction Mode: In Person