Topography Preserving Gaussian Mixture Models As Cortical Maps

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Topography Preserving Gaussian Mixture Models as Cortical Maps

Author : Dror Cohen
Publisher :
ISBN 13 :
Total Pages : 222 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Topography Preserving Gaussian Mixture Models as Cortical Maps by : Dror Cohen

Download or read book Topography Preserving Gaussian Mixture Models as Cortical Maps written by Dror Cohen and published by . This book was released on 2012 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis two topography preserving Gaussian Mixture Models are used to model cortical maps. Two major novel contributions are presented; the application of the Generative Topographic Mapping (GTM) to the formation of ocular dominance stripes and using the Elastic Net (EN) as a visual category representation. The applications are motivated by Marr's computational framework in that the contributions correspond to different levels of abstraction. Firstly, motivated by theoretical and experimental comparisons of the GTM and EN, the GTM is applied for the formation of ocular dominance stripes. Simulations are presented that demonstrate that the GTM can indeed produce realistic looking patterns in some instances, though careful parameter selection is required. In addition the GTM exhibits properties that the EN does not, such as twisting and 'hyper sensitivity'. Consequently it is proposed that further mathematical investigation may relate the neuronal interoprability of the GTM to that of the EN. In the second application the EN is used to model population of neurons in higher level processing that are postulated to code visual categories. Using the EN visualisations are presented that allow some novel insights. Motivated by the ability of the EN to capture 'high level' concepts a novel visual categorisation scheme is suggested. The proposed system is evaluated on the Caltech101 data set and shows good performance. A number of interesting future directions that pertain to both artificial and biological vision are suggested.

Neural Nets Wirn Vietri - 93, Proceedings Of Sixth Italian Workshop

Author : E R Caianiello
Publisher : World Scientific
ISBN 13 : 9814551694
Total Pages : 422 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Neural Nets Wirn Vietri - 93, Proceedings Of Sixth Italian Workshop by : E R Caianiello

Download or read book Neural Nets Wirn Vietri - 93, Proceedings Of Sixth Italian Workshop written by E R Caianiello and published by World Scientific. This book was released on 1994-04-06 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of this workshop include invited lectures by Professors Stan Gielen and Lotfi Zadeh. The workshop was the last to be organised by the late Professor Eduardo R. Cainello, known worldwide for his fundamental contributions to cybernetics and theoretical physics, and to whom this volume is dedicated.

Artificial Intelligence Tools

Author : Diego Galar Pascual
Publisher : CRC Press
ISBN 13 : 1498760198
Total Pages : 475 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Artificial Intelligence Tools by : Diego Galar Pascual

Download or read book Artificial Intelligence Tools written by Diego Galar Pascual and published by CRC Press. This book was released on 2015-04-22 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders the merits of e

Handbook of Natural Computing

Author : Grzegorz Rozenberg
Publisher : Springer
ISBN 13 : 9783540929093
Total Pages : 2052 pages
Book Rating : 4.9/5 (29 download)

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Book Synopsis Handbook of Natural Computing by : Grzegorz Rozenberg

Download or read book Handbook of Natural Computing written by Grzegorz Rozenberg and published by Springer. This book was released on 2012-07-09 with total page 2052 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development.

Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association

Author : Francesco Masulli
Publisher : World Scientific
ISBN 13 : 9814551538
Total Pages : 417 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association by : Francesco Masulli

Download or read book Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association written by Francesco Masulli and published by World Scientific. This book was released on 1994-10-24 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods based on neural networks are assuming an increasing role in biomedical research. This book presents an introduction to the application of neural networks and related areas of artificial intelligence to biological structure analysis, biomedical images understanding, electrophysiologic signal analysis and other stimulating issues of biomedicine.This book, which will include the latest advances and developments in the field, will be of value to researchers in neural networks and biomedicine.

Intelligent Data Engineering and Automated Learning - IDEAL 2005

Author : Marcus Gallagher
Publisher : Springer Science & Business Media
ISBN 13 : 354026972X
Total Pages : 613 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning - IDEAL 2005 by : Marcus Gallagher

Download or read book Intelligent Data Engineering and Automated Learning - IDEAL 2005 written by Marcus Gallagher and published by Springer Science & Business Media. This book was released on 2005-06-20 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2005, held in Brisbane, Australia, in July 2005. The 76 revised full papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in topical sections on data mining and knowledge engineering, learning algorithms and systems, bioinformatics, agent technologies, and financial engineering.

The Cognitive Neurosciences, fifth edition

Author : Michael S. Gazzaniga
Publisher : MIT Press
ISBN 13 : 0262027771
Total Pages : 1187 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Cognitive Neurosciences, fifth edition by : Michael S. Gazzaniga

Download or read book The Cognitive Neurosciences, fifth edition written by Michael S. Gazzaniga and published by MIT Press. This book was released on 2014-10-24 with total page 1187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fifth edition of a work that defines the field of cognitive neuroscience, with entirely new material that reflects recent advances in the field. Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The fifth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognition—the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field. Many of the developments in cognitive neuroscience have been shaped by the introduction of novel tools and methodologies, and a new section is devoted to methods that promise to guide the field into the future—from sophisticated models of causality in brain function to the application of network theory to massive data sets. Another new section treats neuroscience and society, considering some of the moral and political quandaries posed by current neuroscientific methods. Other sections describe, among other things, new research that draws on developmental imaging to study the changing structure and function of the brain over the lifespan; progress in establishing increasingly precise models of memory; research that confirms the study of emotion and social cognition as a core area in cognitive neuroscience; and new findings that cast doubt on the so-called neural correlates of consciousness.

Intelligent Data Engineering and Automated Learning

Author :
Publisher :
ISBN 13 :
Total Pages : 636 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning by :

Download or read book Intelligent Data Engineering and Automated Learning written by and published by . This book was released on 2005 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Parametric Mapping: The Analysis of Functional Brain Images

Author : William D. Penny
Publisher : Elsevier
ISBN 13 : 0080466508
Total Pages : 689 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Statistical Parametric Mapping: The Analysis of Functional Brain Images by : William D. Penny

Download or read book Statistical Parametric Mapping: The Analysis of Functional Brain Images written by William D. Penny and published by Elsevier. This book was released on 2011-04-28 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. An essential reference and companion for users of the SPM software Provides a complete description of the concepts and procedures entailed by the analysis of brain images Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data Stands as a compendium of all the advances in neuroimaging data analysis over the past decade Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes Structured treatment of data analysis issues that links different modalities and models Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible

Advances in Self-Organising Maps

Author : Nigel Allinson
Publisher : Springer Science & Business Media
ISBN 13 : 1447107152
Total Pages : 299 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Advances in Self-Organising Maps by : Nigel Allinson

Download or read book Advances in Self-Organising Maps written by Nigel Allinson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Neural Networks Research

Author : D.C. Wunsch II
Publisher : Elsevier
ISBN 13 : 9780080443201
Total Pages : 438 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Advances in Neural Networks Research by : D.C. Wunsch II

Download or read book Advances in Neural Networks Research written by D.C. Wunsch II and published by Elsevier. This book was released on 2003-08-22 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It has arguably been the preeminent conference in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has grown, its strongest competition has migrated away from an emphasis on neural networks. IJCNN has embraced the proliferation of spin-off and related fields (see the topic list, below), while maintaining a core emphasis befitting its name. It has also succeeded in enforcing an emphasis on quality.

Conscious Mind, Resonant Brain

Author : Stephen Grossberg
Publisher : Oxford University Press
ISBN 13 : 0190070552
Total Pages : 771 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Conscious Mind, Resonant Brain by : Stephen Grossberg

Download or read book Conscious Mind, Resonant Brain written by Stephen Grossberg and published by Oxford University Press. This book was released on 2021 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities.

Algorithmic Aspects of Machine Learning

Author : Ankur Moitra
Publisher : Cambridge University Press
ISBN 13 : 1107184584
Total Pages : 161 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Algorithmic Aspects of Machine Learning by : Ankur Moitra

Download or read book Algorithmic Aspects of Machine Learning written by Ankur Moitra and published by Cambridge University Press. This book was released on 2018-09-27 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

Pattern Recognition and Signal Analysis in Medical Imaging

Author : Anke Meyer-Baese
Publisher : Elsevier
ISBN 13 : 0124166156
Total Pages : 467 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Pattern Recognition and Signal Analysis in Medical Imaging by : Anke Meyer-Baese

Download or read book Pattern Recognition and Signal Analysis in Medical Imaging written by Anke Meyer-Baese and published by Elsevier. This book was released on 2014-03-21 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Science Abstracts

Author :
Publisher :
ISBN 13 :
Total Pages : 1990 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Science Abstracts by :

Download or read book Science Abstracts written by and published by . This book was released on 1995 with total page 1990 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Rhythms of the Brain

Author : G. Buzsáki
Publisher : Oxford University Press
ISBN 13 : 0199828237
Total Pages : 465 pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis Rhythms of the Brain by : G. Buzsáki

Download or read book Rhythms of the Brain written by G. Buzsáki and published by Oxford University Press. This book was released on 2011 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies of mechanisms in the brain that allow complicated things to happen in a coordinated fashion have produced some of the most spectacular discoveries in neuroscience. This book provides eloquent support for the idea that spontaneous neuron activity, far from being mere noise, is actually the source of our cognitive abilities. It takes a fresh look at the coevolution of structure and function in the mammalian brain, illustrating how self-emerged oscillatory timing is the brain's fundamental organizer of neuronal information. The small-world-like connectivity of the cerebral cortex allows for global computation on multiple spatial and temporal scales. The perpetual interactions among the multiple network oscillators keep cortical systems in a highly sensitive "metastable" state and provide energy-efficient synchronizing mechanisms via weak links. In a sequence of "cycles," György Buzsáki guides the reader from the physics of oscillations through neuronal assembly organization to complex cognitive processing and memory storage. His clear, fluid writing-accessible to any reader with some scientific knowledge-is supplemented by extensive footnotes and references that make it just as gratifying and instructive a read for the specialist. The coherent view of a single author who has been at the forefront of research in this exciting field, this volume is essential reading for anyone interested in our rapidly evolving understanding of the brain.

Cerebral Cortex

Author : Edmund T. Rolls
Publisher : Oxford University Press
ISBN 13 : 0198784856
Total Pages : 979 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Cerebral Cortex by : Edmund T. Rolls

Download or read book Cerebral Cortex written by Edmund T. Rolls and published by Oxford University Press. This book was released on 2016 with total page 979 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into the principles of operation of the cerebral cortex. These principles are key to understanding how we, as humans, function. The book includes Appendices on the operation of many of the neuronal networks described in the book, together with simulation software written in Matlab.