Courses

Spring 2006
NEUR/PHYS/BISC 335: Computational Neuroscience with Laboratory

Description: Computations by networks of neurons in the brain underlie all of our thoughts, perceptions, and memories. However, direct experimental observation of neural computations is extremely difficult. Mathematical models are increasingly used to bridge the gap between experimental measurements and hypothesized network functions. This course will focus on the use of mathematical models to describe computations performed in the nervous systems of a variety of animals. Topics will range from single neuron biophysics to the analysis of circuits thought to underlie sensory perception and memory. Each topic will be introduced by background lectures, followed by student-led presentations of primary literature and construction of a computer model of the system studied. Lab will introduce students to computer programming of mathematical models in MATLAB and the neuron-simulator NEURON.

Prerequisites: PHYS 104/107 and either PHYS 106/108 or NEUR/BISC 213; or permission of instructor. No programming experience is required. Not open to first-year students.

Previous courses
PHYS 106: Fundamentals of Electricity, Magnetism, and Optics with Laboratory

PHYS 107: Principles and Applications of Mechanics with Laboratory

PHYS 305: Statistical Mechanics and Thermodynamics

NEUR/BISC 213: The Biology of Brain and Behavior with Laboratory