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

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

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Book Description
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:
ISBN:
Category :
Languages : en
Pages : 400

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Book Description

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

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

Author: Edward C. Carterette
Publisher: Academic Press
ISBN: 1483276228
Category : Psychology
Languages : en
Pages : 449

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Book Description
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.

Author: Jose Mira
Publisher: Springer Science & Business Media
ISBN: 9783540660699
Category : Computers
Languages : en
Pages : 900

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Book Description
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.

Author: Fred Rieke
Publisher: MIT Press (MA)
ISBN: 9780262181747
Category : Action potentials (Electrophysiology)
Languages : en
Pages : 418

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Book Description
Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory.

Author: Kenneth William Latimer
Publisher:
ISBN:
Category :
Languages : en
Pages : 354

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Book Description
Here we consider the neural coding problem at two levels of the macaque visual system.First, we analyze single neurons recorded in the lateral intraparietal (LIP) cortex while a monkey performed a perceptual decision-making task. We relate the single-trial responses in LIP to stochastic decision-making processes with latent dynamical models. We compare models with latent spike rates governed by either continuous diffusion-to-bound dynamics or discrete "stepping" dynamics. In contrast to previous findings, roughly three-quarters of the choice-selective neurons we recorded are better described by the stepping model. Second, we introduce a biophysically inspired point process model that explicitly incorporates stimulus-induced changes in synaptic conductance in a dynamical model of neuronal membrane potential. We show that our model provides a tractable model of spike responses in macaque parasol retinal ganglion cells that is both more accurate and more interpretable than the popular generalized linear model. Most importantly, we show that we can accurately infer intracellular synaptic conductances from extracellularly recorded spike trains.