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This book 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. These probabilistic approaches derive from the realization that our sensors are noisy and moreover are often affected by ambiguity. For example, mechanoreceptor outputs are variable and they cannot distinguish if a perceived force is caused by the weight of an object or by force we are producing ourselves. The probabilistic approaches elaborated in this book aim at formalizing the uncertainty of cues. They describe cue combination as the nervous system's attempt to minimize uncertainty in its estimates and to choose successful actions. Some computational approaches described in the chapters of this book are concerned with the application of such statistical ideas to real-world cue-combination problems. Others ask how uncertainty may be represented in the nervous system and used for cue combination. Importantly, across behavioral, electrophysiological and theoretical approaches, Bayesian statistics is emerging as a common language in which cue-combination problems can be expressed.
- Sales Rank: #3342600 in eBooks
- Published on: 2011-09-21
- Released on: 2011-09-21
- Format: Kindle eBook
About the Author
Julia Trommershäuser spent three years as a postdoctoral researcher at New York University. From 2004-2009, she was a researcher in the Department of Psychology at Giessen University, Germany, funded by an Emmy-Noether Research Award by the German Science Foundation (DFG). She currently works at the Center for Neural Science at New York University on questions in the field of human decision-making under risk and uncertainty, trying to understand how the brain makes use of sensory processing, feedback and prior knowledge.
Konrad Körding is an Assistant Professor at Northwestern University. His lab focuses on the statistical processing of information in the sensorimotor system. He conducts behavioral experiments in humans to ask how people deal with uncertainty and he collaborates with physiologists to ask how the brain does it.
Michael Landy is a Full Professor of Psychology and Neural Science at New York University. His research concerns visual and visuomotor behavior, often comparing human performance to that of a statistically ideal participant. He works in a number of different research areas including spatial visual coding (e.g., texture segmentation), depth perception (including depth cue integration) and movement planning under risk.
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