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

Author: Werner Backhaus
Publisher:
ISBN:
Category :
Languages : en
Pages : 400

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Author: Werner Backhaus
Publisher: World Scientific
ISBN: 9814493880
Category : Science
Languages : en
Pages : 663

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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.

Author: Werner Backhaus
Publisher: World Scientific
ISBN: 981024164X
Category : Science
Languages : en
Pages : 663

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Book Description
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.

Author: Rodrigo Quian Quiroga
Publisher: CRC Press
ISBN: 1439853304
Category : Medical
Languages : en
Pages : 643

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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.

Author: Christopher J. Plack
Publisher: Springer Science & Business Media
ISBN: 0387289585
Category : Science
Languages : en
Pages : 375

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Although pitch has been considered an important area of auditory research since the birth of modern acoustics in the 19th century, some of the most significant developments in our understanding of this phenomenon have occurred comparatively recently. In auditory physiology, researchers are now identifying cells in the brainstem and cortex that may be involved in the derivation of pitch. In auditory psychophysics, dramatic developments over the last few years have changed our understanding of temporal pitch mechanisms, and of the roles of resolved and unresolved harmonics. Computational modeling has provided new insights into the biological algorithms that may underlie pitch perception. Modern brain imaging techniques have suggested possible cortical locations for pitch mechanisms. This timely volume brings together the more recent findings, while emphasizing their relation to the discoveries of the past. It brings together insights from several different methodological areas: physiology, psychophysics, comparative, imaging, etc., in addressing a single scientific problem. Pitch perception can be regarded as one of the main problems of hearing, and the multidisciplinary approach of the book provides a valuable reference source for graduate students and academics.

Author: Kenji Doya
Publisher: MIT Press
ISBN: 026204238X
Category : Bayesian statistical decision theory
Languages : en
Pages : 341

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

Author: Zhongzhi Shi
Publisher: Elsevier
ISBN: 0323884989
Category : Computers
Languages : en
Pages : 633

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Book Description
Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry. Presents a complex, interdisciplinary area in an accessible way, including the latest trends and developments Brings together disciplines such as neuroscience, cognitive science and artificial intelligence Gives the latest methods and theories in the development of new intelligent technologies Reflects upon the most important achievements in the study of natural and artificial intelligence Contextualizes intelligence research within the history and progress of twenty-first century science

Author: Rajesh P.N. Rao
Publisher: MIT Press
ISBN: 9780262264327
Category : Medical
Languages : en
Pages : 348

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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.

Author: Harry Wechsler
Publisher: Academic Press
ISBN: 1483260259
Category : Computers
Languages : en
Pages : 543

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Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.

Author: Sébastien Santurette
Publisher:
ISBN: 9788792465900
Category :
Languages : en
Pages :

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