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Title Perception as Bayesian Inference
Author David C. Knill
Publisher Cambridge University Press
Release Date 1996-09-13
Category Computers
Total Pages 516
ISBN 052146109X
Language English, Spanish, and French
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Book Summary:

This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.

Title Perception as Bayesian Inference
Author Anonim
Publisher Unknown
Release Date 2014
Category
Total Pages 86
ISBN OCLC:935699050
Language English, Spanish, and French
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Title Perception as Bayesian Inference
Author David C. Knill
Publisher Unknown
Release Date 1996
Category
Total Pages 516
ISBN OCLC:1088820247
Language English, Spanish, and French
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Title Shape Perception as Bayesian Inference of Modality independent Part based 3D Object centered Shape Representations
Author Goker Erdogan
Publisher Unknown
Release Date 2017
Category Form perception
Total Pages 211
ISBN OCLC:1036988326
Language English, Spanish, and French
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Book Summary:

"Shape is a fundamental property of physical objects. It provides crucial information for various critical behaviors from object recognition to motor planning. The fundamental question here for cognitive science is to understand object shape perception, i.e., how our brains extract shape information from sensory stimuli and make use of it. In other words, we want to understand the representations and algorithms our brains use to achieve successful shape perception. This thesis reports a computational theory of shape perception that uses modality-independent, part-based, 3D, object-centered shape representations and frames shape perception as Bayesian inference over such representations. In a series of behavioral, neuroimaging and computational studies reported in the following chapters, we test various aspects of this proposed theory and show that it provides a promising approach to understanding shape perception."--Page xi.

Title Hierarchical Bayesian Causal Inference and Natural Statistics Explain Heaviness Perception
Author Megan Amelia Knapp Peters
Publisher Unknown
Release Date 2014
Category
Total Pages 120
ISBN OCLC:902681872
Language English, Spanish, and French
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Book Summary:

GOAL: The goal of this dissertation is to explore the factors contributing to humans' expectations about our interactions with objects, and perceptual experiences of these interactions, from a sensory integration and computational perspective. More specifically, this project focuses on the regular patterns that exist in the environment for properties of objects typically manipulated by human observers, and how our sensitivity to and representation of these properties contributes to the subjective, perceptual experience of an object's heaviness. These ideas are developed through the following aims: AIM 1: Sensitivity to complex environmental regularities. This aim first investigates regularities in the joint distribution of the properties of size and weight (i.e., the distribution of the hidden property of density) for liftable objects in the environment. Previous studies have identified univariate environmental regularities in the visual domain, and have demonstrated that sensitivity to such statistics can strongly influence perceptual experiences. This study series identifies a previously-unreported complex environmental statistic linking size with weight, and suggests that human observers represent and can use quantitative knowledge of this statistic to predict the weight of novel, nondescript objects. These findings imply that humans perform inference on the hidden variable of density when judging a novel object's potential weight given its size. AIM 2: How inference about hidden properties contributes to visuohaptic perception. The next series of studies examines the consequences of AIM 1's conclusions for the visuohaptic percept of an object's heaviness. It is well known that an object's perceived heaviness is inversely proportional to its volume: With weight held constant, a smaller object feels heavier than a larger object. Until now, this Size-Weight Illusion (SWI) has defied modern computational theories of perception, which rest on the notion of a Bayesian ideal observer. Through combining expectations with sensory evidence, Bayesian inference can describe much of perceptual experience across a wide variety of domains - but not the SWI. Through multiple behavioral studies and development of a computational model, this study series demonstrates that assuming human observers perform inference about both observable (size, weight) and hidden (density) variables allows this perceptual illusion to be explained by Bayesian inference.

Title The Oxford Handbook of Philosophy of Perception
Author Mohan Matthen
Publisher OUP Oxford
Release Date 2015-07-02
Category Philosophy
Total Pages 944
ISBN 9780191669040
Language English, Spanish, and French
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Book Summary:

The Oxford Handbook of Philosophy of Perception is a survey by leading philosophical thinkers of contemporary issues and new thinking in philosophy of perception. It includes sections on the history of the subject, introductions to contemporary issues in the epistemology, ontology and aesthetics of perception, treatments of the individual sense modalities and of the things we perceive by means of them, and a consideration of how perceptual information is integrated and consolidated. New analytic tools and applications to other areas of philosophy are discussed in depth. Each of the forty-five entries is written by a leading expert, some collaborating with younger figures; each seeks to introduce the reader to a broad range of issues. All contain new ideas on the topics covered; together they demonstrate the vigour and innovative zeal of a young field. The book is accessible to anybody who has an intellectual interest in issues concerning perception.

Sensory Cue Integration by Julia Trommershauser

Title Sensory Cue Integration
Author Julia Trommershauser
Publisher Oxford University Press
Release Date 2011-09-21
Category Psychology
Total Pages 464
ISBN 9780199874767
Language English, Spanish, and French
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Book Summary:

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.

Title Probabilistic Approaches to Robotic Perception
Author João Filipe Ferreira
Publisher Springer
Release Date 2013-08-30
Category Technology & Engineering
Total Pages 242
ISBN 9783319020068
Language English, Spanish, and French
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Book Summary:

This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing. The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public’s imagination has been stimulated by high expectations on autonomy, where AI and robotics try to solve difficult cognitive problems through algorithms developed from either philosophical and anthropological conjectures or incomplete notions of cognitive reasoning. Many of these developments do not unveil even a few of the processes through which biological organisms solve these same problems with little energy and computing resources. The tangible results of this research tendency were many robotic devices demonstrating good performance, but only under well-defined and constrained environments. The adaptability to different and more complex scenarios was very limited. In this book, the application of Bayesian models and approaches are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of autonomous, intelligent and adaptive artificial systems, inherently dealing with uncertainty and the “irreducible incompleteness of models”.

Title Likelihood Free Methods for Cognitive Science
Author James J. Palestro
Publisher Springer
Release Date 2018-02-07
Category Psychology
Total Pages 129
ISBN 9783319724256
Language English, Spanish, and French
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Book Summary:

This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science.

Title Probabilistic Models of the Brain
Author Rajesh P.N. Rao
Publisher MIT Press
Release Date 2002-03-29
Category Medical
Total Pages 334
ISBN 0262264323
Language English, Spanish, and French
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Book Summary:

A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.

Human Body Perception From The Inside Out by Professor of Psychology Ian Thornton

Title Human Body Perception from the Inside Out
Author Professor of Psychology Ian Thornton
Publisher Oxford University Press
Release Date 2006-01-05
Category Medical
Total Pages 468
ISBN 0195178378
Language English, Spanish, and French
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Book Summary:

As the general notion of cognition has recently broadened to include its embodied nature, researchers' accounts of perception have increasingly come to include the body's special status as a window on the world and to accommodate the specific perceptual requirements for identifying, interpreting, and interacting with other bodies. This volume presents a comprehensive overview of the rapid progress that has been made in understanding the human body and its relationship to perception. It will help to unify the relevant research from several independent areas of cognitive psychology and cognitive neuroscience and facilitate the development of an integrated framework for the study of human-body perception.

Title Own Body Perception as Bayesian Causal Inference
Author Majed Samad
Publisher Unknown
Release Date 2016
Category
Total Pages 201
ISBN OCLC:1047735619
Language English, Spanish, and French
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Book Summary:

This dissertation investigates the principles of multisensory integration that underlie the perception of ownership over one's body. To that end, three experimental approaches have been utilized: 1) an investigation of the rubber hand illusion from the perspective of Bayesian causal inference operating in peripersonal space has indicated that this phenomenon is governed by the same principles of statistical inference that govern perception of external objects, 2) an investigation of the same model formulated to operate in the somatotopic space -- that which lines the surface of the body -- revealed that the integration of visual and tactile representations is again governed by the same process of causal inference, and 3) an investigation of the malleability of the somatotopic space has revealed that brief exposure to synchronous visual-tactile pairs at different locations can cause a recalibration of that space. In combination, these three investigations have made use of the Bayesian causal inference model that has been implemented in different ways, in order to model the respective spaces of relevance. Seeking to synthesize a complete account of body ownership, I then proceed to propose a unified account that makes use of the principles of Bayesian causal inference and performs a combined computation that operates in both somatotopic and peripersonal spaces in performing the inference as to which object is my body.

Seeing by John P. Frisby

Title Seeing
Author John P. Frisby
Publisher MIT Press
Release Date 2010
Category Psychology
Total Pages 562
ISBN 9780262514279
Language English, Spanish, and French
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Book Summary:

This new edition of a classic text offers an accessible but rigorous introduction to the computational approach to understanding biological visual systems. The authors of Seeing, taking as their premise David Marr's statement that "to understand vision by studying only neurons is like trying to understand bird flight by studying only feathers," make use of Marr's three different levels of analysis in the study of vision: the computational level, the algorithmic level, and the hardware implementation level.

Title Unconscious Memory Representations in Perception
Author István Czigler
Publisher John Benjamins Publishing
Release Date 2010
Category Psychology
Total Pages 274
ISBN 9789027252142
Language English, Spanish, and French
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Book Summary:

Perceptual experience emerges from neural computations. "Unconscious Memory Representations in Perception "focuses on the role of implicit (non-conscious) memories in processing sensory information. Making sense of the wealth of information arriving at our senses requires implicit memories, which represent environmental regularities, contingencies of the sensory input, as well as general contextual knowledge. Recent findings and theories in cognitive and computational neuroscience provided new insights into the structure and contents of implicit memory representations. The chapters of this book examine implicit memories both in relatively simple situations, such as perceiving auditory and visual objects, as well as in high?level cognitive functions, such as speech and music perception and aesthetic experience. By nature, implicit memories cannot be directly studied with behavioral methods. Therefore, a large part of the evidence reviewed was obtained in neuroscientific studies. Readers with limited experience in neuroscience will find information about the most commonly used techniques in the appendix of this volume. (Series B)

Elementary Decision Theory by Herman Chernoff

Title Elementary Decision Theory
Author Herman Chernoff
Publisher Courier Corporation
Release Date 2012-04-26
Category Mathematics
Total Pages 384
ISBN 9780486143774
Language English, Spanish, and French
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Book Summary:

This well-respected introduction to statistics and statistical theory covers data processing, probability and random variables, utility and descriptive statistics, computation of Bayes strategies, models, testing hypotheses, and much more. 1959 edition.

Title Biologically Inspired Computer Vision
Author Gabriel Cristobal
Publisher John Wiley & Sons
Release Date 2015-08-31
Category Technology & Engineering
Total Pages 480
ISBN 9783527680498
Language English, Spanish, and French
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Book Summary:

As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Title The Rationality of Perception
Author Susanna Siegel
Publisher Oxford University Press
Release Date 2017-01-05
Category Philosophy
Total Pages 240
ISBN 9780198797081
Language English, Spanish, and French
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Book Summary:

An important division in the human mind is between perception and reasoning. Perceptual experiences are conscious, but much of our reasoning is unconscious. Reasoning can be better or worse, but perception is considered beyond reproach. We reason from information that we have already, butperception is a means of getting new information. The Rationality of Perception argues that these two divergent aspects of the mind become deeply intertwined when beliefs, fears, desires, or prejudice influence what we perceive. When the influences reach all the way to perceptual appearances, weface a philosophical problem: is it reasonable to strengthen what one believes, fears, or suspects, on the basis of an experience that was generated, unbeknownst to the perceiver, by those very same beliefs, fears, or suspicions? Susanna Siegel argues that it is not reasonable - even though it mayseem that way to the perceiver. Drawing on examples involving racism, emotion, self-defense law, and scientific theories, The Rationality of Perception makes the case that perception itself can be irrational. Siegel systematically distinguishes "cognitive penetration" from several other kinds of influence on perception, builds atheory of how such influences on perception determine what it's rational or irrational to believe, and uses the main conclusions to analyze perceptual manifestations of anti-black racism in the U.S. This book makes vivid the far-reaching consequences of psychological and cultural influences onperception. Its method shows how analytic philosophy, social psychology, history and politics can be mutually illuminating.

Title The Oxford Handbook of Philosophy of Perception
Author Mohan Matthen
Publisher Oxford University Press
Release Date 2015-07-02
Category Philosophy
Total Pages 944
ISBN 9780191669057
Language English, Spanish, and French
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Book Summary:

The Oxford Handbook of Philosophy of Perception is a survey by leading philosophical thinkers of contemporary issues and new thinking in philosophy of perception. It includes sections on the history of the subject, introductions to contemporary issues in the epistemology, ontology and aesthetics of perception, treatments of the individual sense modalities and of the things we perceive by means of them, and a consideration of how perceptual information is integrated and consolidated. New analytic tools and applications to other areas of philosophy are discussed in depth. Each of the forty-five entries is written by a leading expert, some collaborating with younger figures; each seeks to introduce the reader to a broad range of issues. All contain new ideas on the topics covered; together they demonstrate the vigour and innovative zeal of a young field. The book is accessible to anybody who has an intellectual interest in issues concerning perception.

Encyclopedia Of Perception by E. Bruce Goldstein

Title Encyclopedia of Perception
Author E. Bruce Goldstein
Publisher SAGE
Release Date 2010
Category Psychology
Total Pages 1180
ISBN 9781412940818
Language English, Spanish, and French
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Book Summary:

Because of the ease with which we perceive, many people see perception as something that "just happens." However, even seemingly simple perceptual experiences involve complex underlying mechanisms, which are often hidden from our conscious experience. These mechanisms are being investigated by researchers and theorists in fields such as psychology, cognitive science, neuroscience, computer science, and philosophy. A few examples of the questions posed by these investigations are, What do infants perceive? How does perception develop? What do perceptual disorders reveal about normal functioning? How can information from one sense, such as hearing, be affected by information from another sense, such as vision? How is the information from all of our senses combined to result in our perception of a coherent environment? What are some practical outcomes of basic research in perception? These are just a few of the questions this encyclopedia will consider, as it presents a comprehensive overview of the field of perception for students, researchers, and professionals in psychology, the cognitive sciences, neuroscience, and related medical disciplines such as neurology and ophthalmology.