Engineering Sciences 145/215
Introduction to Systems Analysis with Physiological ApplicationsHalf course (Fall term)
Tu & Th, 1-2:30pm
EXAM GROUP: 15, 16
A survey of systems theory with applications from bioengineering and physiology. Analysis: modeling real systems as discrete elements; nonlinear systems, the complementary nature of time and frequency methods; feedback; stability; biological oscillations. Applications: muscle dynamics and nerve function, cardiovascular regulation. Laboratory: neural modeling; feedback control systems; properties of muscles; cardiovascular function.
Prerequisites: Applied Mathematics 21b or Mathematics 21b or equivalent.
Engineering Sciences 148/218
Neural Signal ProcessingTu & Th, 10-11:30am
EXAM GROUP: 12, 13
Examines the generation, transmission, and processing of signals in single nerve cells and in neural networks, with emphasis on physical principles and contemporary mathematical models. Develops relevant analytical techniques (network theory, random processes, differential equations, etc). Special attention is given to the relationship between physiology and psychophysics in the mammalian visual system.
Prerequisites: Applied Mathematics 21b or Mathematics 21b or equivalent, and physics at the level of Physics 15b. Engineering Sciences 145 is ideal preparation; Biological Sciences 25 may compensate for lesser preparation in mathematics or physics. Applied Mathematics 21b or Mathematics 21b or equivalent.
Engineering Sciences 217
Computational NeuroscienceTu & Th, 10-11:30am
EXAM GROUP: N/A
A range of current topics in computational neuroscience at the systems level are presented. Discussions include spike trains, point processes, encoding/decoding, information theory, adaptation/plasticity, learning, and neural system identification.
Prerequisites: linear and nonlinear differential equations, some familiarity with probability and statistics, some biological background helpful but not required.