Bayesian Models of Perception and Action av Wei Ji Ma, Konrad Paul Kording

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<b>An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.</b><br><br>Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, <i>Bayesian Models of Perception and Action</i> is the first textbook to teach this widely used computational framework to beginners.<br><br><ul><li>Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience</li><li>Beginner-friendly pedagogy includes intuitive examples, daily life illustra