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Neuronal Coding Of Perceptual Systems - Proceedings Of The International School Of Biophysics

Author: Werner Backhaus

Publisher: World Scientific

Published: 2001-10-29

Total Pages: 663

ISBN-13: 9814493880

This book provides a most complete overview of physiological and psychophysical properties of perceptual systems in man and animals. The information processing chains are described step-by-step from the stimuli of the respective environments, via the perceptual neuronal coding networks to conscious sensations and behaviour.Articles by W G K Backhaus, A G Clark, B Hiley, A Iznak, M Kavaliers, B Kramer, A Michelsen, C Neumeyer, G A Orban, T Radil, D G Stavenga, M Stengl, U Thurm, R L DeValois, R Wehner, J S Werner, W Wiltschko, and related short articles.

Neuronal Coding of Perceptual Systems

Author: Werner Backhaus

Publisher: World Scientific

Published: 2001

Total Pages: 663

ISBN-13: 981024164X

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Neuronal coding of information coming from external and internal environments and transducted by sensory receptors constitutes a basic biophysical problem. After the coding phase, such information orients organism responses, shaping complex behavioural patterns. The characteristics of both neurons (interneurons with re-entering connections, latency times, filter bandwidth with respect to input signals, logic operations on multiple convergent signals) and neuron nets (reverberating nets, feedback/feed-forward connections, oscillations due to endogenous activity patterns) are important for coding mechanisms. Neuronal coding is implied also in the higher phases of information processing linked to consciousness, when neuronal activity patterns are related to perceptual mental representations.

Bayesian Brain

Author: Kenji Doya

Publisher: MIT Press

Published: 2007

Total Pages: 341

ISBN-13: 026204238X

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Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

Principles of Neural Coding

Author: Rodrigo Quian Quiroga

Publisher: CRC Press

Published: 2013-05-06

Total Pages: 643

ISBN-13: 1439853304

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Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this book covers the complexities of this discipline. It centers on some of the major developments in this area and presents a complete assessment of how neurons in the brain encode information. The book collaborators contribute various chapters that describe results in different systems (visual, auditory, somatosensory perception, etc.) and different species (monkeys, rats, humans, etc). Concentrating on the recording and analysis of the firing of single and multiple neurons, and the analysis and recording of other integrative measures of network activity and network states—such as local field potentials or current source densities—is the basis of the introductory chapters. Provides a comprehensive and interdisciplinary approach Describes topics of interest to a wide range of researchers The book then moves forward with the description of the principles of neural coding for different functions and in different species and concludes with theoretical and modeling works describing how information processing functions are implemented. The text not only contains the most important experimental findings, but gives an overview of the main methodological aspects for studying neural coding. In addition, the book describes alternative approaches based on simulations with neural networks and in silico modeling in this highly interdisciplinary topic. It can serve as an important reference to students and professionals.

Probabilistic Models of the Brain

Author: Rajesh P.N. Rao

Publisher: MIT Press

Published: 2002-03-29

Total Pages: 348

ISBN-13: 9780262264327

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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.

Perceptual Coding

Author: Edward C. Carterette

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 449

ISBN-13: 1483276228

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Handbook of Perception, Volume VIII: Perceptual Coding covers perceptual coding of space, time, and objects, including sensory memory systems and the relations between verbal and perceptual codes. This volume contains contributions that focus on such subjects as the compound eye; the problems of the perceptual constancies and of intersensory coordination in perceptual development; the visual perception of objects in space; and perception of motion. Topics on the perception of color, the representation of temporal, auditory, and haptic perception; and the relationship between verbal and perceptual codes are discussed in detail as well. This book will be of use to psychologists, biologists, and those interested in the study of perceptual codes.

Foundations and Tools for Neural Modeling

Author: Jose Mira

Publisher: Springer Science & Business Media

Published: 1999-05-19

Total Pages: 900

ISBN-13: 9783540660699

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This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial & Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed & selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation & implementation, image processing & engineering applications.

The Psychobiology of Sensory Coding

Author: William R. Uttal

Publisher: Psychology Press

Published: 2014-06-27

Total Pages: 692

ISBN-13: 1317669002

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Originally published in 1973, this book deals with what were, even at that time, the well-known neural coding processes of the sensory transmission processes. The book was written to demonstrate the common features of the various senses. It concentrates on the most peripheral neural aspects of the senses starting with the physical transduction process and culminating in the arrival of signals at the brain.

Biology of Perceptual Systems

Author: Edward Carterette

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 543

ISBN-13: 0323146597

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Handbook of Perception, Volume III: Biology of Perceptual Systems reviews the literature on the biological aspects of human perception, with emphasis on perceptual systems and elements of sensory physiology. This volume is organized into 19 chapters and begins with a discussion of energy transduction, detection, and discrimination, along with the properties of neurons alone and as conjoined in nets. The focus then shifts to psychogenesis, the relatively new field of ethology, and the natural diversity and evolutionary divergence of sensory systems. The chapters that follow examine the genetics of behavior, the facts and theories about the way in which animals and men construct patterned stimulation of receptors into significant objects, and the structure and function of sensory systems on which vertebrates depend for their construction of the varieties of experience. The book methodically introduces the reader to chemoreception, tasting and smelling, cutaneous mechanoreception (of position, velocity, transients), active texture perception, mechanisms of spatial orientation and of motion in space, thermoreception, vision, and audition. In almost every case the underlying physiological mechanisms are related to the psychophysical or perceptual observations. This book is a valuable resource for psychologists, biologists, and natural scientists, as well as for those who are interested in the biology of human perception.

Cerebral Cortex

Author: Edmund T. Rolls

Publisher: Oxford University Press

Published: 2018-01-26

Total Pages: 1000

ISBN-13: 0191087742

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The aim of this book is to provide insight into the principles of operation of the cerebral cortex. These principles are key to understanding how we, as humans, function. There have been few previous attempts to set out some of the important principles of operation of the cortex, and this book is pioneering. The book goes beyond separate connectional neuroanatomical, neurophysiological, neuroimaging, neuropsychiatric, and computational neuroscience approaches, by combining evidence from all these areas to formulate hypotheses about how and what the cerebral cortex computes. As clear hypotheses are needed in this most important area of 21st century science, how our brains work, I have formulated a set of hypotheses about the principles of cortical operation to guide thinking and future research. The book focusses on the principles of operation of the cerebral cortex, because at this time it is possible to propose and describe many principles, and many are likely to stand the test of time, and provide a foundation for further developments, even if some need to be changed. In this context, I have not attempted to produce an overall theory of operation of the cerebral cortex, because at this stage of our understanding, such a theory would be incorrect or incomplete. However, many of the principles described will provide the foundations for more complete theories of the operation of the cerebral cortex. This book is intended to provide a foundation for future understanding, and it is hoped that future work will develop and add to these principles of operation of the cerebral cortex. The book includes Appendices on the operation of many of the neuronal networks described in the book, together with simulation software written in Matlab.