BIONB 3300

Last Updated

  • Schedule of Classes - April 8, 2026 7:48PM EDT

BIONB 3300
Introduction to Computational Neuroscience

Course information provided by the 2026-2027 Catalog.

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.


Prerequisites BIONB 2220 or permission of instructor.

Distribution Requirements (OPHLS-AG), (BIO-AS, SDS-AS)

Last 4 Terms Offered 2024FA, 2022FA, 2018FA, 2016FA

Learning 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

  •  4852 BIONB 3300   LEC 001

  •  
    • MW
    • Aug 24 - Dec 7, 2026

    • 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 3300, BME 3300, COGST 3300, PSYCH 3300

  • 4 Credits Stdnt Opt

  •  4853 BIONB 3300   LEC 002

  •  
    • MW
    • Aug 24 - Dec 7, 2026

    • Linster, C

  • Instruction Mode: In Person

    Prerequisite: BIONB 2220 or permission of instructor.

  •  4854 BIONB 3300   LAB 401

  •  
    • Aug 24 - Dec 7, 2026

    • Staff

  • Instruction Mode: In Person