Sensory Cue Integration
Edited by Julia Trommershauser, Konrad Kording, and Michael S. Landy
Table of Contents
Preface
I. Theory and Fundamentals
1. Ideal-Observer Models of Cue Integration
Landy, Banks, & Knill
2. Causal Inference in Sensorimotor Learning and Control
Wei & Körding
3. The Role of Generative Knowledge in Object Perception
Battaglia, Kersten, & Schrater
4. Generative Probabilistic Modeling: Understanding Causal Sensorimotor Integration
Vijayakumar, Hospedales, & Haith
5. Modeling Cue Integration in Clutter
Sahani & Whiteley
6. Recruitment of New Visual Cues for Perceptual Appearance
Backus
7. Combining image signals before 3D reconstruction: The Intrinsic Constraint Model of Cue Integration
Domini & Caudek
8. Cue Combination: Beyond So-Called "Optimality"
Rosas & Wichmann
II. Behavioral Studies
9. Priors and Learning in Cue Integration
Seydell, Knill, & Trommershäuser
10. Combining Vision With Audition and Touch, In Adults and In Children
Burr, Binda, & Gori
11. The Statistical Relationship Between Depth, Visual Cues, and Human Perception
Banks, Burge, & Held
12. Multisensory Perception: From Integration to Remapping
Ernst & Di Luca
13. From Integration to Segregation: When and How the Human Nervous System Combines Crossmodal Sensory Signals
Shams & Beierholm
14. Cues and Pseudocues in Texture and Shape Perception
Landy, Ho, Serwe, Trommershäuser, & Maloney
15. Optimality Principles Apply to a Broad Range of Information Integration Problems in Perception and Action
Michel, Brouwer, Jacobs, & Knill
III. Neural Implementation
16. Self-Motion Perception: Multisensory Integration in Extrastriate Visual Cortex
Fetsch, Gu, DeAngelis, & Angelaki
17. Probing Neural Correlates of Cue Integration
Buneo, Apker, & Shi
18. Computational Models of Multisensory Integration in the Cat Superior Colliculus
Rowland, Stein, & Stanford
19. Decoding the Cortical Representation of Depth
Welchman
20. Dynamic Cue Combination in Distributional Population Code Networks
Natarajan & Zemel
21. A Neural Implementation of Optimal Cue Integration
Ma, Beck, & Pouget
22. Contextual Modulation of Visual Receptive Fields: A Bayesian Perspective
Deneve & Lochmann