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Herausgeber: 
  • Trommershauser Julia
  • Kording Konrad
  • Landy Michael S.
  • Sensory Cue Integration 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2011  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Cognition & cognitive psychology / Cognition and cognitive psychology / Neurosciences / PSYCHOLOGY / Cognitive Psychology & Cognition / SCIENCE / Life Sciences / Neuroscience
    ISBN:  9780195387247 
    EAN-Code: 
    9780195387247 
    Verlag:  Oxford Academic 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Computational Neuroscience  
    Dimensionen:  H 188 mm / B 257 mm / D 28 mm 
    Gewicht:  1287 gr 
    Illustration:  178 illustrations 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides an introduction into both computational models and experimental paradigms that are concerned with sensory cue integration both within and between sensory modalities. Importantly, across behavioral, electrophysiological and theoretical approaches, Bayesian statistics is emerging as a common language in which cue-combination problems can be expressed. This book focuses on the emerging probabilistic way of thinking about these problems. These approaches derive from the realization that all 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 computational approaches described 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, such as shape and depth perception. Other parts of the book ask how uncertainty may be represented in the nervous system and used for cue combination. The broadening scope of probabilistic approaches to cue combination is highlighted in the breadth of topics covered in this book: the chapters summarize and discuss computational approaches and behavioral evidence aimed at understanding the combination of visual, auditory, proprioceptive, and haptic cues. Some chapters address the combination of cues within a single sensory modality while others address the combination across sensory modalities. Neural implementation, behavior, and theory are considered. The unifying aspect of this book is the focus on the uncertainty intrinsic to sensory cues and the underlying question of how the nervous system deals with this uncertainty. The book is intended as a reference text for graduate students and professionals in perceptual psychology, computational neuroscience, cognitive neuroscience and sensory neurophysiology.
      



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