BME 3300

Last Updated

  • Schedule of Classes - December 22, 2024 7:33PM EST
  • Course Catalog - December 22, 2024 7:07PM EST

BME 3300
Introduction to Computational Neuroscience

Course information provided by the 2024-2025 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/Corequisites Prerequisite: BIONB 2220 or permission of instructor.

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.

Distribution Category (OPHLS-AG)

When Offered Fall.

Comments Four credit option includes lab providing additional computer simulation exercises.

View Enrollment Information

Syllabi:

  • 17994 BME 3300   LEC 001

  •  

  • 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

  • 17995 BME 3300   LEC 002

  •  

  • Instruction Mode: In Person

  • 17996 BME 3300   LAB 401

  •  
    • Aug 26 - Dec 9, 2024

    • Linster, C

  • Instruction Mode: In Person