BME 6026 - Quantitative Models of Human Perceptual Information Processing

An introduction to the measurement and modeling of human perceptual information processing, with approaches from neurophysiology to psychophysics, for the purposes of system design. Measurement includes classical psychophysics, EEG field potentials, and single-neuron recordings. Modeling includes signal detection theory, neuronal models (leaky integrate-and-fire, Hodgkin-Huxley, and models utilizing regression, probability, and ODEs). Prerequisite: Graduate standing; background courses in ordinary differential equations, statistics and probability; or consent of instructor.

Credits: 3