| Description |
1 online resource (xiii, 446 pages) : color illustrations |
| Series |
Computational neuroscience |
|
Computational neuroscience.
|
| Contents |
Ideal-observer models of cue integration / Michael S. Landy, Martin S. Banks and David C. Knill -- Casual inference in sensorimotor learning and control / Kunlin Wei and Konrad P. Kording -- The role of generative knowledge in object perception / Peter W. Battaglia, Daniel Kersten and Paul Schrater -- Generative probabilistic modeling: understanding casual sensorimotor integration / Sethu Vijayakumar, Timothy Hospedales and Adrian Haith -- Modeling cue integration in cluttered environments / Maneesh Sahani and Louise Whiteley -- Recruitment of new visual cues for perceptual appearance / Benjamin T. Backus -- Combining image signals before three-dimensional reconstruction: the intrinsic constraint model of cue integration / Fulvio Domini and Carrado Caudek -- Cue combination: beyond optimality / Pedro Rosas and Felix A. Wichmann -- Priors and learning in cue integration / Anna Seydell, David C. Knill and Julia Trommershauser -- Multisensory integration and calibration in adults and children / David Burr, Paola Binda and Monica Gori -- The Statistical relationship between depth, visual cues, and human perception / Martin S. Banks, Johannes Burge and Robert T. Held -- Multisensory perception: from integration to remapping / Marc O. Ernst and Massimiliano Di Luca -- Humans multisensory perception, from integration to segregation, follows Bayesian inference / Ladan Shams and Ulrik Beierholm -- Cues and pseudocues in texture and shape perception / Michael S. Landy [and others] -- Optimality principles apply to a broad range of information integration problems in perception and action / Melchi M. Mitchel, Anne-Marie Brouwer, Robert A. Jacobs and David C. Knill -- Self-motion perception: multisensory integration in extrastriate visual cortex / Christopher R. Fetsch, Yong Gu, Gregory C. DeAngelis, and Dora E. Angelaki -- Probing neural correlates of cue integration / Christopher A. Buneo, Gregory Apker and Ying Shi -- Computational models of multisensory integration in the cat superior colliculus / Benjamin A. Rowland, Barry E. Stein and Terrence R. Stanford -- Decoding the cortical representation of depth / Andrew E. Welchman -- Dynamic cue combination in distributional population code networks / Rama Natarajan and Richard S. Zemel -- A neural implementation of optimal cue integration / Wei Ji Ma, Jeff Beck and Alexandre Pouget -- Contextual modulations of visual receptive fields: a Bayesian perspective / Sophie Deneve and Timm Lochmann |
| Summary |
This text is concerned with sensory cue integration both within and between sensory modalities, and focuses on the emerging way of thinking about cue combination in terms of uncertainty |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Computational neuroscience.
|
|
Cognitive neuroscience.
|
|
Senses and sensation.
|
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Neural networks (Computer science)
|
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Sensation -- physiology
|
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Computer Simulation
|
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Cues
|
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Models, Neurological
|
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Neural Networks, Computer
|
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Sensation
|
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simulation.
|
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MEDICAL -- Neuroscience.
|
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PSYCHOLOGY -- Neuropsychology.
|
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Neural networks (Computer science)
|
|
Cognitive neuroscience
|
|
Computational neuroscience
|
|
Senses and sensation
|
| Form |
Electronic book
|
| Author |
Trommershauser, Julia
|
|
Kording, Konrad
|
|
Landy, Michael S
|
| ISBN |
9780199874767 |
|
019987476X |
|
1280691662 |
|
9781280691669 |
|
9780199918379 |
|
0199918376 |
|
