The electrical activities of neurons in the brain underlie all of our thoughts, perceptions, and memories. However, it is difficult to measure these neural activities experimentally, and also difficult to describe them precisely in ordinary language. For these reasons, mathematical models and computer simulations are increasingly used to bridge the gap between experimental measurements and hypothesized network function. This course will focus on the use of mathematical models and computer simulations to describe the functional dynamics of neurons in a variety of animals. Topics will range from single neuron biophysics to the analysis of circuits thought to underlie sensory perception and memory. Topics 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.

This course has a required co-requisite Laboratory - NEUR 335L.

Units: 1.25

Max Enrollment: 12

Prerequisites: NEUR 200 and calculus at the level of MATH 115, or permission of the instructor.

Distribution Requirements: MM - Mathematical Modeling and Problem Solving; LAB - Natural and Physical Sciences Laboratory; NPS - Natural and Physical Sciences

Typical Periods Offered: Spring

Semesters Offered this Academic Year: Spring

Notes: No programming experience is required.