Markov Models
Abstract
In this chapter, you will learn about modeling sequential phenomena using Markov processes. Simple Markov models will be introduced to characterize sequences in behavior. Hidden Markov models will be introduced with the HMM functions within the Statistics Toolbox in MATLAB®. Finally, hidden Markov models will be used to extract timing data from electrophysiological data by taking advantage of the sequential pattern in the waveform shape.
Keywords
simple Markov models; hidden Markov models; Markov property; motif; syllable; output; state
32.1 Goal of this Chapter
In this chapter, you will learn about modeling sequential phenomena using Markov processes. Simple Markov models will be introduced to characterize sequences ...
Get MATLAB for Neuroscientists, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
