Bayesian Models of Perception and Action
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Bayesian Models of Perception and Action: An Introduction

Bayesian Models of Perception and Action: An Introduction


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About the Book

Table of Contents:
Acknowledgments xv The Four Steps of Bayesian Modeling xvii List of Acronyms xix Introduction 1 1 Uncertainty and Inference 7 2 Using Bayes' Rule 31 3 Bayesian Inference under Measurement Noise 53 4 The Response Distribution 83 5 Cue Combination and Evidence Accumulation 105 6 Learning as Inference 125 7 Discrimination and Detection 147 8 Binary Classification 169 9 Top-Level Nuisance Variables and Ambiguity 191 10 Same-Different Judgment 205 11 Search 227 12 Inference in a Changing World 245 13 Combining Inference with Utility 257 14 The Neural Likelihood Function 281 15 Bayesian Models in Context 301 Appendices 311 A Notation 313 B Basics of Probability Theory 315 C Model Fitting and Model Comparison 343 Bibliography 361 Index 371

About the Author :
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.


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Product Details
  • ISBN-13: 9780262047593
  • Publisher: MIT Press Ltd
  • Publisher Imprint: MIT Press
  • Height: 254 mm
  • No of Pages: 360
  • Sub Title: An Introduction
  • ISBN-10: 0262047594
  • Publisher Date: 08 Aug 2023
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Width: 178 mm


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