Functional Networks With Applications

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Functional Networks with Applications

Author : Enrique Castillo
Publisher : Springer Science & Business Media
ISBN 13 : 1461556015
Total Pages : 307 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Functional Networks with Applications by : Enrique Castillo

Download or read book Functional Networks with Applications written by Enrique Castillo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of neural networks is their ability to learn from data. There are two types of learning: structural and parametric. Structural learning consists of learning the topology of the network, that is, the number of layers, the number of neurons in each layer, and what neurons are connected. This process is done by trial and error until a good fit to the data is obtained. Parametric learning consists of learning the weight values for a given topology of the network. Since the neural functions are given, this learning process is achieved by estimating the connection weights based on the given information. To this aim, an error function is minimized using several well known learning methods, such as the backpropagation algorithm. Unfortunately, for these methods: (a) The function resulting from the learning process has no physical or engineering interpretation. Thus, neural networks are seen as black boxes.

Networks in Systems Biology

Author : Fabricio Alves Barbosa da Silva
Publisher : Springer Nature
ISBN 13 : 3030518620
Total Pages : 381 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Networks in Systems Biology by : Fabricio Alves Barbosa da Silva

Download or read book Networks in Systems Biology written by Fabricio Alves Barbosa da Silva and published by Springer Nature. This book was released on 2020-10-03 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.

Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics

Author : Carl Faingold
Publisher : Academic Press
ISBN 13 : 0124158641
Total Pages : 537 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics by : Carl Faingold

Download or read book Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics written by Carl Faingold and published by Academic Press. This book was released on 2013-12-26 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics, edited by two leaders in the field, offers a current and complete review of what we know about neural networks. How the brain accomplishes many of its more complex tasks can only be understood via study of neuronal network control and network interactions. Large networks can undergo major functional changes, resulting in substantially different brain function and affecting everything from learning to the potential for epilepsy. With chapters authored by experts in each topic, this book advances the understanding of: - How the brain carries out important tasks via networks - How these networks interact in normal brain function - Major mechanisms that control network function - The interaction of the normal networks to produce more complex behaviors - How brain disorders can result from abnormal interactions - How therapy of disorders can be advanced through this network approach This book will benefit neuroscience researchers and graduate students with an interest in networks, as well as clinicians in neuroscience, pharmacology, and psychiatry dealing with neurobiological disorders. - Utilizes perspectives and tools from various neuroscience subdisciplines (cellular, systems, physiologic), making the volume broadly relevant - Chapters explore normal network function and control mechanisms, with an eye to improving therapies for brain disorders - Reflects predominant disciplinary shift from an anatomical to a functional perspective of the brain - Edited work with chapters authored by leaders in the field around the globe – the broadest, most expert coverage available

Fundamentals of Brain Network Analysis

Author : Alex Fornito
Publisher : Academic Press
ISBN 13 : 0124081185
Total Pages : 496 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Fundamentals of Brain Network Analysis by : Alex Fornito

Download or read book Fundamentals of Brain Network Analysis written by Alex Fornito and published by Academic Press. This book was released on 2016-03-04 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Functional and structural brain network construction, representation and application

Author : Mingxia Liu
Publisher : Frontiers Media SA
ISBN 13 : 2832520014
Total Pages : 534 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Functional and structural brain network construction, representation and application by : Mingxia Liu

Download or read book Functional and structural brain network construction, representation and application written by Mingxia Liu and published by Frontiers Media SA. This book was released on 2023-04-06 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Intelligent Computing. Theories and Applications

Author : De-Shuang Huang
Publisher : Springer Science & Business Media
ISBN 13 : 3642148301
Total Pages : 593 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advanced Intelligent Computing. Theories and Applications by : De-Shuang Huang

Download or read book Advanced Intelligent Computing. Theories and Applications written by De-Shuang Huang and published by Springer Science & Business Media. This book was released on 2010-07-30 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005, that were held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Handbook of Neuroengineering

Author : Nitish V. Thakor
Publisher : Springer Nature
ISBN 13 : 9811655405
Total Pages : 3686 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Handbook of Neuroengineering by : Nitish V. Thakor

Download or read book Handbook of Neuroengineering written by Nitish V. Thakor and published by Springer Nature. This book was released on 2023-02-02 with total page 3686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.

Functional Equations in Applied Sciences

Author : Enrique Castillo
Publisher : Elsevier
ISBN 13 : 0080477917
Total Pages : 410 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Functional Equations in Applied Sciences by : Enrique Castillo

Download or read book Functional Equations in Applied Sciences written by Enrique Castillo and published by Elsevier. This book was released on 2004-11-04 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides the reader with the different types of functional equations that s/he can find in practice, showing, step by step, how they can be solved.A general methodology for solving functional equations is provided in Chapter 2. The different types of functional equations are described and solved in Chapters 3 to 8. Many examples, coming from different fields, as geometry, science, engineering, economics, probability, statistics, etc, help the reader to change his/her mind in order to state problems as functional equations as an alternative to differential equations, and to state new problems in terms of functional equations or systems.An interesting feature of the book is that it deals with functional networks, a powerful generalization of neural networks that allows solving many practical problems. The second part of the book, Chapters 9 to 13, is devoted to the applications of this important paradigm.The book contains many examples and end of chapter exercises, that facilitates the understanding of the concepts and applications.· A general methodology for solving functional equations is provided in Chapter 2.· It deals with functional networks, a powerful generalization of neural networks.· Many examples, coming from different fields, as geometry, science, engineering, economics, probability, statistics, etc, illustrate the concept of functional equation.· Functional equations are presented as a powerful alternative to differential equations. · The book contains end of chapter exercises.

Functional MRI

Author : Ramachandran Ramani
Publisher : Oxford University Press
ISBN 13 : 019029776X
Total Pages : 265 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Functional MRI by : Ramachandran Ramani

Download or read book Functional MRI written by Ramachandran Ramani and published by Oxford University Press. This book was released on 2019-01-23 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functional MRI: Basic Principles and Emerging Clinical Applications provides an overview of the basic principles of fMRI for clinicians with minimal knowledge of the imaging technique and its research potential and clinical applications. The text is divided into two parts, with Section I covering the primary signal measured in fMRI (BOLD), the correlation between neuronal activity and the BOLD signal, and how the data is analyzed and interpreted in fMRI. Section II explores applications of fMRI in cognitive neuroscience and common psychiatric disorders, surgical planning in neurosurgery, anesthesia and the intensive care unit, and more. Timely and highly accessible, this book is a valuable resource for researchers and clinicians interested in understanding what fMRI is, how it works, and its applications.

Dynamic Functional Connectivity in Neuropsychiatric Disorders: Methods and Applications

Author : Wenbin Guo
Publisher : Frontiers Media SA
ISBN 13 : 2889661954
Total Pages : 71 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Dynamic Functional Connectivity in Neuropsychiatric Disorders: Methods and Applications by : Wenbin Guo

Download or read book Dynamic Functional Connectivity in Neuropsychiatric Disorders: Methods and Applications written by Wenbin Guo and published by Frontiers Media SA. This book was released on 2020-12-03 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

The Graph Theoretical Approach in Brain Functional Networks

Author : Fabrizio Fallani
Publisher : Springer Nature
ISBN 13 : 3031016440
Total Pages : 84 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Graph Theoretical Approach in Brain Functional Networks by : Fabrizio Fallani

Download or read book The Graph Theoretical Approach in Brain Functional Networks written by Fabrizio Fallani and published by Springer Nature. This book was released on 2022-06-01 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book illustrates the theoretical aspects of several methodologies related to the possibility of i) enhancing the poor spatial information of the electroencephalographic (EEG) activity on the scalp and giving a measure of the electrical activity on the cortical surface. ii) estimating the directional influences between any given pair of channels in a multivariate dataset. iii) modeling the brain networks as graphs. The possible applications are discussed in three different experimental designs regarding i) the study of pathological conditions during a motor task, ii) the study of memory processes during a cognitive task iii) the study of the instantaneous dynamics throughout the evolution of a motor task in physiological conditions. The main outcome from all those studies indicates clearly that the performance of cognitive and motor tasks as well as the presence of neural diseases can affect the brain network topology. This evidence gives the power of reflecting cerebral "states" or "traits" to the mathematical indexes derived from the graph theory. In particular, the observed structural changes could critically depend on patterns of synchronization and desynchronization - i.e. the dynamic binding of neural assemblies - as also suggested by a wide range of previous electrophysiological studies. Moreover, the fact that these patterns occur at multiple frequencies support the evidence that brain functional networks contain multiple frequency channels along which information is transmitted. The graph theoretical approach represents an effective means to evaluate the functional connectivity patterns obtained from scalp EEG signals. The possibility to describe the complex brain networks sub-serving different functions in humans by means of "numbers" is a promising tool toward the generation of a better understanding of the brain functions. Table of Contents: Introduction / Brain Functional Connectivity / Graph Theory / High-Resolution EEG / Cortical Networks in Spinal Cord Injured Patients / Cortical Networks During a Lifelike Memory Task / Application to Time-varying Cortical Networks / Conclusions

Novel Tools for the Study of Structural and Functional Networks in the Brain

Author : Luis M. Colon-Perez
Publisher : Frontiers Media SA
ISBN 13 : 288945472X
Total Pages : 104 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Novel Tools for the Study of Structural and Functional Networks in the Brain by : Luis M. Colon-Perez

Download or read book Novel Tools for the Study of Structural and Functional Networks in the Brain written by Luis M. Colon-Perez and published by Frontiers Media SA. This book was released on 2018-04-27 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the history of neuroscience, technological advances are the drivers behind many major advances in our understanding of the nervous system. Investigations of the structure and function of the brain take place on multiple scales, including macroscale at the level of brain regions, mesoscale at the level of neuronal populations, and microscale at the level of single neurons and neuron to neuron interactions. Integration of knowledge over these scales requires novel techniques and interpretations. In this research topic, we highlight nine articles that integrate structural and functional approaches to study brain networks.

Radial Basis Function Networks 1

Author : Robert J.Howlett
Publisher : Springer Science & Business Media
ISBN 13 : 9783790813678
Total Pages : 344 pages
Book Rating : 4.8/5 (136 download)

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Book Synopsis Radial Basis Function Networks 1 by : Robert J.Howlett

Download or read book Radial Basis Function Networks 1 written by Robert J.Howlett and published by Springer Science & Business Media. This book was released on 2001-03-27 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.

Radial Basis Function Networks 2

Author : Robert J. Howlett
Publisher : Springer Science & Business Media
ISBN 13 : 9783790813685
Total Pages : 392 pages
Book Rating : 4.8/5 (136 download)

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Book Synopsis Radial Basis Function Networks 2 by : Robert J. Howlett

Download or read book Radial Basis Function Networks 2 written by Robert J. Howlett and published by Springer Science & Business Media. This book was released on 2001-03-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.

Advances in cortical architectonic & functional imaging with MRI: Methodology and applications

Author : Chitresh Bhushan
Publisher : Frontiers Media SA
ISBN 13 : 2832522165
Total Pages : 131 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances in cortical architectonic & functional imaging with MRI: Methodology and applications by : Chitresh Bhushan

Download or read book Advances in cortical architectonic & functional imaging with MRI: Methodology and applications written by Chitresh Bhushan and published by Frontiers Media SA. This book was released on 2023-04-28 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Encyclopedia of Artificial Intelligence

Author : Juan Ramon Rabunal
Publisher : IGI Global
ISBN 13 : 1599048507
Total Pages : 1640 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Encyclopedia of Artificial Intelligence by : Juan Ramon Rabunal

Download or read book Encyclopedia of Artificial Intelligence written by Juan Ramon Rabunal and published by IGI Global. This book was released on 2009-01-01 with total page 1640 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

Pattern Recognition Using Neural and Functional Networks

Author : Vasantha Kalyani David
Publisher : Springer
ISBN 13 : 3540851305
Total Pages : 198 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Pattern Recognition Using Neural and Functional Networks by : Vasantha Kalyani David

Download or read book Pattern Recognition Using Neural and Functional Networks written by Vasantha Kalyani David and published by Springer. This book was released on 2008-10-14 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologically inspiredcomputing isdi?erentfromconventionalcomputing.Ithas adi?erentfeel; often the terminology does notsound like it’stalkingabout machines.The activities ofthiscomputingsoundmorehumanthanmechanistic as peoplespeak ofmachines that behave, react, self-organize,learn, generalize, remember andeven to forget.Much ofthistechnology tries to mimic nature’s approach in orderto mimicsome of nature’s capabilities.They havearigorous, mathematical basisand neuralnetworks forexamplehaveastatistically valid set on which the network istrained. Twooutlinesaresuggestedasthepossibletracksforpatternrecognition.They are neuralnetworks andfunctionalnetworks.NeuralNetworks (many interc- nected elements operating in parallel) carryout tasks that are not only beyond the scope ofconventionalprocessing but also cannotbeunderstood in the same terms.Imagingapplicationsfor neuralnetworksseemtobea natural?t.Neural networks loveto do pattern recognition. A new approachto pattern recognition usingmicroARTMAP together with wavelet transforms in the context ofhand written characters,gestures andsignatures havebeen dealt.The KohonenN- work,Back Propagation Networks andCompetitive Hop?eld NeuralNetwork havebeen considered for various applications. Functionalnetworks,beingageneralizedformofNeuralNetworkswherefu- tionsarelearnedratherthanweightsiscomparedwithMultipleRegressionAn- ysisforsome applicationsandtheresults are seen to be coincident. New kinds of intelligence can be added to machines, and we will havethe possibilityof learningmore about learning.Thus our imaginationsand options are beingstretched.These new machines will be fault-tolerant,intelligentand self-programmingthustryingtomakethemachinessmarter.Soastomakethose who use the techniques even smarter. Chapter1 isabrief introduction toNeural and Functionalnetworks in the context of Patternrecognitionusing these disciplinesChapter2 givesa review ofthearchitectures relevantto the investigation andthedevelopment ofthese technologies in the past few decades. Retracted VIII Preface Chapter3begins with the lookattherecognition ofhandwritten alphabets usingthealgorithm for ordered list ofboundary pixelsas well as the Ko- nenSelf-Organizing Map (SOM).Chapter 4 describes the architecture ofthe MicroARTMAP and its capability.