BIONB 3300

Last Updated

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

BIONB 3300
Introduction to Computational Neuroscience

Course information provided by the 2016-2017 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.

Permission Note Enrollment limited to: 50 students.

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 (PBS-AS)

When Offered Fall.

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

View Enrollment Information

Syllabi: none

  • 16538 BIONB 3300   LEC 001

  •  

  • Instruction Mode: In Person

    Prerequisite: BIONB 2220 or permission of instructor. Four credit option includes lab providing additional computer simulation exercises.

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 16539 BIONB 3300   LEC 002

  •  

  • Instruction Mode: In Person

    Prerequisite: BIONB 2220 or permission of instructor. Four credit option includes lab providing additional computer simulation exercises.

  • 16540 BIONB 3300   LAB 401

  •  
    • TBA

    • Linster, C

  • Instruction Mode: In Person