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Beschreibung
"An introduction to constructing and reasoning with Bayesian (probabilistic) models of perceptual decision making and action, modeling how the brain perceives and decides"--
"An introduction to constructing and reasoning with Bayesian (probabilistic) models of perceptual decision making and action, modeling how the brain perceives and decides"--
Über den Autor
Wei Ji Ma, Konrad Paul Kording, and Daniel Goldreich
Inhaltsverzeichnis
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
Details
Erscheinungsjahr: 2023
Fachbereich: Grundlagen (Methodik & Statistik)
Genre: Importe, Psychologie
Rubrik: Geisteswissenschaften
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780262047593
ISBN-10: 0262047594
Sprache: Englisch
Einband: Gebunden
Autor: Kording, Konrad Paul
Ma, Wei Ji
Hersteller: MIT Press Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 261 x 209 x 29 mm
Von/Mit: Konrad Paul Kording (u. a.)
Erscheinungsdatum: 08.08.2023
Gewicht: 1,028 kg
Artikel-ID: 126645013

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