BME 3300

BME 3300

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.

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

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:
  • 17994 BME 3300   LEC 001

    • MW Corson-Mudd A106
    • Aug 26 - Dec 9, 2024
    • Linster, C

  • Instruction Mode: In Person

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

  • 4 Credits Stdnt Opt

  • 17995 BME 3300   LEC 002

    • MW Corson-Mudd A106
    • Aug 26 - Dec 9, 2024
    • Linster, C

  • Instruction Mode: In Person

  • 17996 BME 3300   LAB 401

    • TBA
    • Aug 26 - Dec 9, 2024
    • Linster, C

  • Instruction Mode: In Person