BME 3300

Last Updated

  • Schedule of Classes - February 6, 2017 7:14PM EST
  • Course Catalog - February 6, 2017 7:15PM EST

BME 3300
Introduction to Computational Neuroscience

Course information provided by the Courses of Study 2016-2017.

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.

Permission Note Enrollment limited to: 50 students.
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: none

  • 17044 BME 3300   LEC 001

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Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 17045 BME 3300   LEC 002

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  • 17046 BME 3300   LAB 401

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    • TBA

    • Linster, C