Vision Images Signals And Neural Networks Models Of Neural Processing In Visual Perception

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Vision: Images, Signals And Neural Networks - Models Of Neural Processing In Visual Perception

Author : Jeanny Herault
Publisher : World Scientific Publishing Company
ISBN 13 : 9813107545
Total Pages : 308 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Vision: Images, Signals And Neural Networks - Models Of Neural Processing In Visual Perception by : Jeanny Herault

Download or read book Vision: Images, Signals And Neural Networks - Models Of Neural Processing In Visual Perception written by Jeanny Herault and published by World Scientific Publishing Company. This book was released on 2010-03-04 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and optics, Hérault presents the principles of the primate's visual system in terms of anatomy and functionality. Then, the neuronal circuitry of the retina is analyzed in terms of spatio-temporal filtering. This basic model is extended to the concept of neuromorphic circuits for motion processing and to the processing of color in the retina. For more in-depth studies, the adaptive non-linear properties of the photoreceptors and of ganglion cells are addressed, exhibiting all the power of the retinal pre-processing of images as a system of information cleaning suitable for further cortical processing. As a target of retinal information, the primary visual area is presented as a bank of filters able to extract valuable descriptors of images, suitable for categorization and recognition and also for local information extraction such as saliency and perspective. All along the book, many comparisons between the models and human perception are discussed as well as detailed applications to computer vision./a

Seeing

Author : Karen K. De Valois
Publisher : Academic Press
ISBN 13 : 0080525245
Total Pages : 409 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Seeing by : Karen K. De Valois

Download or read book Seeing written by Karen K. De Valois and published by Academic Press. This book was released on 2000-04-28 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most remarkable things about seeing is how effortless this complex task appears to be. This book provides a comprehensive overview of research on the myriad complexities of this task. Coverage includes such classic topics as color, spatial, and binocular vision, areas that have seen a recent explosion of new information such as motion vision, image formation and sampling, and areas where new tools have allowed a better investigation into processes (e.g. neural representation of shape, visual attention).Seeing is a needed reference for researchers specializing in visual perception and is suitable for advance courses on vision.

Biologically Inspired Computer Vision

Author : Gabriel Cristobal
Publisher : John Wiley & Sons
ISBN 13 : 3527680470
Total Pages : 482 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biologically Inspired Computer Vision by : Gabriel Cristobal

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-20 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Artificial Neural Networks and Machine Learning – ICANN 2018

Author : Věra Kůrková
Publisher : Springer
ISBN 13 : 3030014215
Total Pages : 637 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2018 by : Věra Kůrková

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2018 written by Věra Kůrková and published by Springer. This book was released on 2018-09-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Computation, Learning, and Architectures

Author :
Publisher :
ISBN 13 : 9780127412528
Total Pages : pages
Book Rating : 4.4/5 (125 download)

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Book Synopsis Computation, Learning, and Architectures by :

Download or read book Computation, Learning, and Architectures written by and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Models of the Brain

Author : Rajesh P.N. Rao
Publisher : MIT Press
ISBN 13 : 9780262264327
Total Pages : 348 pages
Book Rating : 4.2/5 (643 download)

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Book Synopsis Probabilistic Models of the Brain by : Rajesh P.N. Rao

Download or read book Probabilistic Models of the Brain written by Rajesh P.N. Rao and published by MIT Press. This book was released on 2002-03-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to the Event-Related Potential Technique, second edition

Author : Steven J. Luck
Publisher : MIT Press
ISBN 13 : 0262525852
Total Pages : 417 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis An Introduction to the Event-Related Potential Technique, second edition by : Steven J. Luck

Download or read book An Introduction to the Event-Related Potential Technique, second edition written by Steven J. Luck and published by MIT Press. This book was released on 2014-05-30 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition. The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics. The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.

Discovering the Brain

Author : National Academy of Sciences
Publisher : National Academies Press
ISBN 13 : 0309045290
Total Pages : 195 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Discovering the Brain by : National Academy of Sciences

Download or read book Discovering the Brain written by National Academy of Sciences and published by National Academies Press. This book was released on 1992-01-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."

Vision

Author : David Marr
Publisher : MIT Press
ISBN 13 : 0262514621
Total Pages : 429 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Vision by : David Marr

Download or read book Vision written by David Marr and published by MIT Press. This book was released on 2010-07-09 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.

Research Awards Index

Author :
Publisher :
ISBN 13 :
Total Pages : 1384 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Research Awards Index by :

Download or read book Research Awards Index written by and published by . This book was released on 1978 with total page 1384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Brain and Visual Perception

Author : David H. Hubel M.D.
Publisher : Oxford University Press
ISBN 13 : 0198039166
Total Pages : 739 pages
Book Rating : 4.1/5 (98 download)

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Book Synopsis Brain and Visual Perception by : David H. Hubel M.D.

Download or read book Brain and Visual Perception written by David H. Hubel M.D. and published by Oxford University Press. This book was released on 2004-10-14 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the story of a hugely successful and enjoyable 25-year collaboration between two scientists who set out to learn how the brain deals with the signals it receives from the two eyes. Their work opened up a new area of brain research that led to their receiving the Nobel Prize in 1981. The book contains their major papers from 1959 to 1981, each preceded and followed by comments telling how and why the authors went about the study, how the work was received, and what has happened since. It begins with short autobiographies of both men, and describes the state of the field when they started. It is intended not only for neurobiologists, but for anyone interested in how the brain works-biologists, psychologists, philosophers, physicists, historians of science, and students at all levels from high school to graduate level.

Applications of Artificial Neural Networks

Author :
Publisher :
ISBN 13 :
Total Pages : 460 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Applications of Artificial Neural Networks by :

Download or read book Applications of Artificial Neural Networks written by and published by . This book was released on 1991 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Artificial Neural Networks II

Author :
Publisher :
ISBN 13 :
Total Pages : 452 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Applications of Artificial Neural Networks II by :

Download or read book Applications of Artificial Neural Networks II written by and published by . This book was released on 1991 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Engineering

Author : Chris Eliasmith
Publisher : MIT Press
ISBN 13 : 9780262550604
Total Pages : 384 pages
Book Rating : 4.5/5 (56 download)

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Book Synopsis Neural Engineering by : Chris Eliasmith

Download or read book Neural Engineering written by Chris Eliasmith and published by MIT Press. This book was released on 2003 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Vision Models for Target Detection and Recognition

Author : Eli Peli
Publisher : World Scientific
ISBN 13 : 9789810221492
Total Pages : 438 pages
Book Rating : 4.2/5 (214 download)

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Book Synopsis Vision Models for Target Detection and Recognition by : Eli Peli

Download or read book Vision Models for Target Detection and Recognition written by Eli Peli and published by World Scientific. This book was released on 1995 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an international collection of contributions from academia, industry and the armed forces. It addresses current and emerging Spatial Vision Models and their application to the understanding, prediction and evaluation of the tasks of target detection and recognition. The discussion in many of the chapters is framed in terms of military targets and military vision aids. However, the techniques analyses and problems are by no means limited to this area of application. The detection and recognition of an armored vehicle from a reconnaissance image are performed by the same visual system used to detect and recognize a tumor in an X-ray. The analysis of the interaction of the human visual system with night vision devices is not different from the analysis needed in the case of an operator examining structures using a remote (endoscopic) camera, etc. The book is organized into three general sections. The first covers basic modeling of central (foveal) vision and its theoretical background. The second is centered on the evaluation of model performance in applications, while the third is dedicated to aspects of peripheral vision modeling and the expansion of peripheral modeling to include visual search.

Human Vision, Visual Processing, and Digital Display

Author :
Publisher :
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Human Vision, Visual Processing, and Digital Display by :

Download or read book Human Vision, Visual Processing, and Digital Display written by and published by . This book was released on 1991 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Strengthening Deep Neural Networks

Author : Katy Warr
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492044903
Total Pages : 233 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Strengthening Deep Neural Networks by : Katy Warr

Download or read book Strengthening Deep Neural Networks written by Katy Warr and published by "O'Reilly Media, Inc.". This book was released on 2019-07-03 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. Delve into DNNs and discover how they could be tricked by adversarial input Investigate methods used to generate adversarial input capable of fooling DNNs Explore real-world scenarios and model the adversarial threat Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data Examine some ways in which AI might become better at mimicking human perception in years to come