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Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems.
Book Synopsis Dynamic Neural Field Theory for Motion Perception by : Martin A. Giese
Download or read book Dynamic Neural Field Theory for Motion Perception written by Martin A. Giese and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems.
Neural field theory has a long-standing tradition in the mathematical and computational neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan, Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Robinson, Bressloff, Wright and Haken. Since then, much progress has been made in both, the development of mathematical and numerical techniques and in physiological refinement und understanding. In contrast to large-scale neural network models described by huge connectivity matrices that are computationally expensive in numerical simulations, neural field models described by connectivity kernels allow for analytical treatment by means of methods from functional analysis. Thus, a number of rigorous results on the existence of bump and wave solutions or on inverse kernel construction problems are nowadays available. Moreover, neural fields provide an important interface for the coupling of neural activity to experimentally observable data, such as the electroencephalogram (EEG) or functional magnetic resonance imaging (fMRI). And finally, neural fields over rather abstract feature spaces, also called dynamic fields, found successful applications in the cognitive sciences and in robotics. Up to now, research results in neural field theory have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. There is no comprehensive collection of results or reviews available yet. With our proposed book Neural Field Theory, we aim at filling this gap in the market. We received consent from some of the leading scientists in the field, who are willing to write contributions for the book, among them are two of the founding-fathers of neural field theory: Shun-ichi Amari and Jack Cowan.
Book Synopsis Neural Fields by : Stephen Coombes
Download or read book Neural Fields written by Stephen Coombes and published by Springer. This book was released on 2014-06-17 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural field theory has a long-standing tradition in the mathematical and computational neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan, Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Robinson, Bressloff, Wright and Haken. Since then, much progress has been made in both, the development of mathematical and numerical techniques and in physiological refinement und understanding. In contrast to large-scale neural network models described by huge connectivity matrices that are computationally expensive in numerical simulations, neural field models described by connectivity kernels allow for analytical treatment by means of methods from functional analysis. Thus, a number of rigorous results on the existence of bump and wave solutions or on inverse kernel construction problems are nowadays available. Moreover, neural fields provide an important interface for the coupling of neural activity to experimentally observable data, such as the electroencephalogram (EEG) or functional magnetic resonance imaging (fMRI). And finally, neural fields over rather abstract feature spaces, also called dynamic fields, found successful applications in the cognitive sciences and in robotics. Up to now, research results in neural field theory have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. There is no comprehensive collection of results or reviews available yet. With our proposed book Neural Field Theory, we aim at filling this gap in the market. We received consent from some of the leading scientists in the field, who are willing to write contributions for the book, among them are two of the founding-fathers of neural field theory: Shun-ichi Amari and Jack Cowan.
"This book describes a new theoretical approach--Dynamic Field Theory (DFT)--that explains how people think and act"--
Book Synopsis Dynamic Thinking by : Gregor Schöner
Download or read book Dynamic Thinking written by Gregor Schöner and published by Oxford University Press. This book was released on 2016 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book describes a new theoretical approach--Dynamic Field Theory (DFT)--that explains how people think and act"--
Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.
Book Synopsis Dynamics of Visual Motion Processing by : Guillaume S. Masson
Download or read book Dynamics of Visual Motion Processing written by Guillaume S. Masson and published by Springer Science & Business Media. This book was released on 2009-12-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.
The first comprehensive presentation of the dynamical approach to cognition. It contains a representative sampling of original, current research on topics such as perception, motor control, speech and language, decision making, and development.
Book Synopsis Mind as Motion by : Robert F. Port
Download or read book Mind as Motion written by Robert F. Port and published by MIT Press. This book was released on 1995 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive presentation of the dynamical approach to cognition. It contains a representative sampling of original, current research on topics such as perception, motor control, speech and language, decision making, and development.
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Book Synopsis Neuronal Dynamics by : Wulfram Gerstner
Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
This volume includes papers originally presented at the 11th annual Computational Neuroscience Meeting (CNS 02) held in July 2002 at the Congress Plaza Hotel & Convention Center in Chicago, Illinois, USA. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
Book Synopsis Computational Neuroscience: Trends in Research 2003 by : E. De Schutter
Download or read book Computational Neuroscience: Trends in Research 2003 written by E. De Schutter and published by Elsevier. This book was released on 2003-06-20 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes papers originally presented at the 11th annual Computational Neuroscience Meeting (CNS 02) held in July 2002 at the Congress Plaza Hotel & Convention Center in Chicago, Illinois, USA. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind.
Book Synopsis Solving the Mind-Body Problem by the CODAM Neural Model of Consciousness? by : John G. Taylor
Download or read book Solving the Mind-Body Problem by the CODAM Neural Model of Consciousness? written by John G. Taylor and published by Springer Science & Business Media. This book was released on 2013-12-05 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind.
For more than 30 years, the visual cortex has been the source of new theories and ideas about how the brain processes information. The visual cortex is easily accessible through a variety of recording and imagining techniques and allows mapping of high level behavior relatively directly to neural mechanisms. Understanding the computations in the visual cortex is therefore an important step toward a general theory of computational brain theory.
Book Synopsis Computational Maps in the Visual Cortex by : Risto Miikkulainen
Download or read book Computational Maps in the Visual Cortex written by Risto Miikkulainen and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than 30 years, the visual cortex has been the source of new theories and ideas about how the brain processes information. The visual cortex is easily accessible through a variety of recording and imagining techniques and allows mapping of high level behavior relatively directly to neural mechanisms. Understanding the computations in the visual cortex is therefore an important step toward a general theory of computational brain theory.
The job of any sensory system is to create objects in the world out of the incoming proximal stimulus energy. The energy is neutral; it does not specify the objects itself. Thus, sensory systems must abstract the energy that does specify objects and differentiate it from the noise energy. The perceptual variables that specify objects for both listening and looking become those of contrast and correlated change across space and time, so that perceiving occurs at several spatial and temporal scales in parallel. Given that the perceptual goals and perceptual variables are equivalent, the rules of perceiving will be the same for all senses. The goal of this book is to describe these conceptual similarities and differences between hearing and seeing. Although it is mathematical and conceptually analytical, the book does not make explicit use of advanced mathematical concepts. Each chapter combines information on hearing and seeing, and gives a detailed treatment of a small number of topics. The first three chapters present introductory information, including properties of auditory and visual worlds, how receptive fields are organized to pick out those properties, and whether the receptive fields are optimized to pick up the structure of the sensory world. Each subsequent chapter considers one type of perceptual element: texture, motion, contrast and noise, color, timbre, and object segmentation. Each type of perceptual situation is described as a problem of discovering the correlated energy, and the research presented focuses on how humans manage to perceive given the complicated set of skills required. This book is intended for use in upper-division undergraduate courses in perception and sensation, cognitive psychology, and neuroscience. It will fill the slot between textbooks that cover perception and sensory physiology and neuroscience, and more advanced monographs that cover one sense or topic in detail.
Book Synopsis Perceptual Coherence by : Stephen Handel
Download or read book Perceptual Coherence written by Stephen Handel and published by Oxford University Press. This book was released on 2006-05-04 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: The job of any sensory system is to create objects in the world out of the incoming proximal stimulus energy. The energy is neutral; it does not specify the objects itself. Thus, sensory systems must abstract the energy that does specify objects and differentiate it from the noise energy. The perceptual variables that specify objects for both listening and looking become those of contrast and correlated change across space and time, so that perceiving occurs at several spatial and temporal scales in parallel. Given that the perceptual goals and perceptual variables are equivalent, the rules of perceiving will be the same for all senses. The goal of this book is to describe these conceptual similarities and differences between hearing and seeing. Although it is mathematical and conceptually analytical, the book does not make explicit use of advanced mathematical concepts. Each chapter combines information on hearing and seeing, and gives a detailed treatment of a small number of topics. The first three chapters present introductory information, including properties of auditory and visual worlds, how receptive fields are organized to pick out those properties, and whether the receptive fields are optimized to pick up the structure of the sensory world. Each subsequent chapter considers one type of perceptual element: texture, motion, contrast and noise, color, timbre, and object segmentation. Each type of perceptual situation is described as a problem of discovering the correlated energy, and the research presented focuses on how humans manage to perceive given the complicated set of skills required. This book is intended for use in upper-division undergraduate courses in perception and sensation, cognitive psychology, and neuroscience. It will fill the slot between textbooks that cover perception and sensory physiology and neuroscience, and more advanced monographs that cover one sense or topic in detail.
