An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.
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, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners.
"Sinopsis" puede pertenecer a otra edición de este libro.
Wei Ji Ma is Professor of Neural Science and Psychology at New York University, founder of the Growing up in Science series, and a founding member of the Scientist Action and Advocacy Network. Konrad Paul Kording is Professor of Bioengineering and Neuroscience at the University of Pennsylvania, cofounder of Neuromatch, and codirector of the CIFAR Program in Learning in Machines & Brains. Daniel Goldreich is Associate Professor of Psychology, Neuroscience, and Behaviour at McMaster University and director of the undergraduate Honours Neuroscience Program.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
hardcover. Condición: Good. Crease/tear to cover. Nº de ref. del artículo: mon0000008202
Cantidad disponible: 2 disponibles
Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
hardcover. Condición: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Nº de ref. del artículo: mon0000008193
Cantidad disponible: 11 disponibles
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00090998764
Cantidad disponible: 1 disponibles
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
hardcover. Condición: Fine. Nº de ref. del artículo: mon0003386207
Cantidad disponible: Más de 20 disponibles
Librería: Montana Book Company, Fond du Lac, WI, Estados Unidos de America
Hardcover. Condición: Very Good Plus. 382 pp. Tightly bound. Corners not bumped. Text is free of markings. No ownership markings. Remainder mark (one dot) on bottom fore-edge. Published without dust jacket. Printed boards. Nº de ref. del artículo: 091370
Cantidad disponible: 1 disponibles
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
hardcover. Condición: Very Good. Nº de ref. del artículo: mon0003302538
Cantidad disponible: 2 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: new. Hardcover. An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.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, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners.Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscienceBeginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex conceptsBroad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematicsWritten by leaders in the field of computational approaches to mind and brain "An introduction to constructing and reasoning with Bayesian (probabilistic) models of perceptual decision making and action, modeling how the brain perceives and decides"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780262047593
Cantidad disponible: 1 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 44847579
Cantidad disponible: 2 disponibles
Librería: INDOO, Avenel, NJ, Estados Unidos de America
Condición: As New. Unread copy in mint condition. Nº de ref. del artículo: RH9780262047593
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 44847579-n
Cantidad disponible: 3 disponibles