Neural Computational Models of Superior Colliculus for Visual Processing
Author: Xiaoxing Wang
Publisher:
Published: 2003
Total Pages: 430
ISBN-13:
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Models of Neural Networks IV
Author: J. Leo van Hemmen
Publisher: Springer Science & Business Media
Published: 2012-11-09
Total Pages: 424
ISBN-13: 0387217037
DOWNLOAD EBOOKThis volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields, such as computational and experimental neuroscience; anatomy and physiology; visual information processing and scene segmentation; perception at illusory contours; control of visual attention; and paradigms for computing with spiking neurons.
Computational Models of Visual Processing
Author: Michael S. Landy
Publisher: MIT Press
Published: 1991
Total Pages: 420
ISBN-13: 9780262121552
DOWNLOAD EBOOKThe more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function. An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary. ContributorsEdward H. Adelson, Albert J. Ahumada, Jr., James R. Bergen, David G. Birch, David H. Brainard, Heinrich H. Bülthoff, Charles Chubb, Nancy J. Coletta, Michael D'Zmura, John P. Frisby, Norma Graham, Norberto M. Grzywacz, P. William Haake, Michael J. Hawken, David J. Heeger, Donald C. Hood, Elizabeth B. Johnston, Daniel Kersten, Michael S. Landy, Peter Lennie, J. Stephen Mansfield, J. Anthony Movshon, Jacob Nachmias, Andrew J. Parker, Denis G. Pelli, Stephen B. Pollard, R. Clay Reid, Robert Shapley, Carlo L. M. Tiana, Brian A. Wandell, Andrew B. Watson, David R. Williams, Hugh R. Wilson, Yuede. Yang, Alan L. Yuille
Visual Attention and Cognition
Author: W.H. Zangemeister
Publisher: Elsevier
Published: 1996-09-23
Total Pages: 413
ISBN-13: 0080545033
DOWNLOAD EBOOKThe goal of this book is to put together some of the main interdisciplinary aspects that play a role in visual attention and cognition. The book is aimed at researchers and students with interdisciplinary interest. In the first chapter a general discussion of the influential scanpath theory and its implications for human and robot vision is presented. Subsequently, four characteristic aspects of the general theme are dealt with in topical chapters, each of which presents some of the different viewpoints of the various disciplines involved. They cover neuropsychology, clinical neuroscience, modeling, and applications. Each of the chapters opens with a synopsis tying together the individual contributions.
Integrating Visual System Mechanisms, Computational Models and Algorithms/Technologies
Author: Hedva Spitzer
Publisher: Frontiers Media SA
Published: 2020-05-26
Total Pages: 233
ISBN-13: 2889635104
DOWNLOAD EBOOKLarge-scale Neuronal Theories of the Brain
Author: Christof Koch
Publisher: MIT Press
Published: 1994
Total Pages: 376
ISBN-13: 9780262111836
DOWNLOAD EBOOKThis book originated at a small and informal workshop held in December of 1992 in Idyllwild, a relatively secluded resort village situated amid forests in the San Jacinto Mountains above Palm Springs in Southern California. Eighteen colleagues from a broad range of disciplines, including biophysics, electrophysiology, neuroanatomy, psychophysics, clinical studies, mathematics and computer vision, discussed 'Large Scale Models of the Brain, ' that is, theories and models that cover a broad range of phenomena, including early and late vision, various memory systems, selective attention, and the neuronal code underlying figure-ground segregation and awareness (for a brief summary of this meeting, see Stevens 1993). The bias in the selection of the speakers toward researchers in the area of visual perception reflects both the academic background of one of the organizers as well as the (relative) more mature status of vision compared with other modalities. This should not be surprising given the emphasis we humans place on'seeing' for orienting ourselves, as well as the intense scrutiny visual processes have received due to their obvious usefullness in military, industrial, and robotic applications. JMD.
Selective Visual Attention
Author: Liming Zhang
Publisher: John Wiley & Sons
Published: 2013-03-15
Total Pages: 344
ISBN-13: 1118060059
DOWNLOAD EBOOKVisual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms
Brain-Like Computing and Intelligent Information Systems
Author: Shunichi Amari
Publisher: Springer
Published: 1998
Total Pages: 552
ISBN-13:
DOWNLOAD EBOOKThis book introduces a new, rapidly expanding area in computer science and artificial intelligence. Brain-like computing combines traditional computational techniques with cognitive models inspired by the brain, for building information systems. Image and speech processing, creative planning and design, adaptive control, knowledge acquisition, and database mining, are only a few areas where brain-like computing is applied.
The Simulation and Modeling of Distributed Information Processing in the Frog Visual System
Author: Richard L. Didday
Publisher:
Published: 1970
Total Pages: 216
ISBN-13:
DOWNLOAD EBOOKThe report presents both a way of looking at perceptual mechanisms in nervous system in terms of distributed information processing, and a way of creating computer models of parts of nervous systems. The first notion views a nervous system as a collection of interacting parallel-operating computation units, each of which has some part of the total information entering through the system's receptors. The second idea presumes that a precise communicable model would be of aid to nervous system researchers and shows one way of using a serial digital computer to model a parallel operating nervous network. These ideas are incorporated in a model of the visual system of the frog. (Author).
Dynamic Interactions in Neural Networks: Models and Data
Author: Michael A. Arbib
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 275
ISBN-13: 1461245362
DOWNLOAD EBOOKThis is an exciting time. The study of neural networks is enjoying a great renaissance, both in computational neuroscience - the development of information processing models of living brains - and in neural computing - the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume, Dynamic Interactions in Neural Networks: Models and Data can be given two interpretations. We present models and data on the dynamic interactions occurring in the brain, and we also exhibit the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles that may guide us in the understanding of our own brains and in the design of artificial neural networks. In fact, the book title has yet a third interpretation. It is based on the U. S. -Japan Seminar on "Competition and Cooperation in Neural Nets" which we organized at the University of Southern California, Los Angeles, May 18-22, 1987, and is thus the record of interaction of scientists on both sides of the Pacific in advancing the frontiers of this dynamic, re-born field. The book focuses on three major aspects of neural network function: learning, perception, and action. More specifically, the chapters are grouped under three headings: "Development and Learning in Adaptive Networks," "Visual Function", and "Motor Control and the Cerebellum.
