Author: Alex Fornito
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
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
Fundamentals of Brain Network Analysis
Author: Alex Fornito
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
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
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
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 Analysis of Information Processing
Author: Grayce M. Booth
Publisher: Wiley-Interscience
ISBN:
Category : Computers
Languages : en
Pages : 300
Book Description
"This book is intended to aid the information system analyst, designer, or programmer in the analysis of complex computer systems” -- Preface.
Publisher: Wiley-Interscience
ISBN:
Category : Computers
Languages : en
Pages : 300
Book Description
"This book is intended to aid the information system analyst, designer, or programmer in the analysis of complex computer systems” -- Preface.
Space Information Networks
Author: Quan Yu
Publisher: Springer
ISBN: 9811044031
Category : Computers
Languages : en
Pages : 297
Book Description
This book constitutes the proceedings of the First International Conference on Space Information Network, SINC 2016, held in Kunming, China, in August 2016. The 18 full and 6 short papers presented in this volume were carefully reviewed and selected from 139 submissions.The theme of the conference encompasses new progress and development tendency of the space information network and related fields, There were 3 sections in the proceedings of SINC 2016 including the model of space information network and mechanism of high performance networking, theory and method of high speed transmission in space dynamic network, and sparse representation and fusion process in space information.
Publisher: Springer
ISBN: 9811044031
Category : Computers
Languages : en
Pages : 297
Book Description
This book constitutes the proceedings of the First International Conference on Space Information Network, SINC 2016, held in Kunming, China, in August 2016. The 18 full and 6 short papers presented in this volume were carefully reviewed and selected from 139 submissions.The theme of the conference encompasses new progress and development tendency of the space information network and related fields, There were 3 sections in the proceedings of SINC 2016 including the model of space information network and mechanism of high performance networking, theory and method of high speed transmission in space dynamic network, and sparse representation and fusion process in space information.
Air Force Research Resumés
Author:
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 854
Book Description
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 854
Book Description
The Power of Information Networks
Author: Lei Guo
Publisher: Routledge
ISBN: 1317537238
Category : Political Science
Languages : en
Pages : 240
Book Description
The news media have significant influence on the formation of public opinion. Called the agenda-setting role of the media, this influence occurs at three levels. Focusing public attention on a select few issues or other topics at any moment is level one. Emphasizing specific attributes of those issues or topics is level two. The Power of Information Networks: The Third Level of Agenda Setting introduces the newest perspective on this influence. While levels one and two are concerned with the salience of discrete individual elements, the third level offers a more comprehensive and nuanced perspective to explain media effects in this evolving media landscape: the ability of the news media to determine how the public associates the various elements in these media messages to create an integrated picture of public affairs. This is the first book to detail the theoretical foundations, methodological approaches, and international empirical evidence for this new perspective. Cutting-edge communication analytics such as network analysis, Big Data and data visualization techniques are used to examine these third-level effects. Diverse applications of the theory are documented in political communication, public relations, health communication, and social media research. The Power of Information Networks will interest scholars, students and practitioners concerned with the media and their social and cultural effects.
Publisher: Routledge
ISBN: 1317537238
Category : Political Science
Languages : en
Pages : 240
Book Description
The news media have significant influence on the formation of public opinion. Called the agenda-setting role of the media, this influence occurs at three levels. Focusing public attention on a select few issues or other topics at any moment is level one. Emphasizing specific attributes of those issues or topics is level two. The Power of Information Networks: The Third Level of Agenda Setting introduces the newest perspective on this influence. While levels one and two are concerned with the salience of discrete individual elements, the third level offers a more comprehensive and nuanced perspective to explain media effects in this evolving media landscape: the ability of the news media to determine how the public associates the various elements in these media messages to create an integrated picture of public affairs. This is the first book to detail the theoretical foundations, methodological approaches, and international empirical evidence for this new perspective. Cutting-edge communication analytics such as network analysis, Big Data and data visualization techniques are used to examine these third-level effects. Diverse applications of the theory are documented in political communication, public relations, health communication, and social media research. The Power of Information Networks will interest scholars, students and practitioners concerned with the media and their social and cultural effects.
Functional Networks with Applications
Author: Enrique Castillo
Publisher: Springer Science & Business Media
ISBN: 1461556015
Category : Science
Languages : en
Pages : 307
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 1461556015
Category : Science
Languages : en
Pages : 307
Book Description
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.
Book Catalog of the Library and Information Services Division: Subject index
Author: Environmental Science Information Center. Library and Information Services Division
Publisher:
ISBN:
Category : Earth sciences
Languages : en
Pages : 438
Book Description
Publisher:
ISBN:
Category : Earth sciences
Languages : en
Pages : 438
Book Description
Wireless Information Networks
Author: Jack M. Holtzman
Publisher: Springer Science & Business Media
ISBN: 1461313538
Category : Technology & Engineering
Languages : en
Pages : 397
Book Description
In April 1995, WINLAB (the Wireless Infonnation Network Lab oratory at Rutgers University) hosted the Fifth WINLAB Workshop on Third Generation Wireless Infonnation Networks. This workshop brings together a select group of experts interested in the future of Personal Communications, Mobile Computing and other services supported by wireless communications. As a sequel to Kluwer books on previous WINLAB workshops,l this volume assembles written versions of presentations of the Fifth Workshop. The last few years have been exciting for the field of wireless communications. The second generation systems that have absorbed our attention during those years are becoming commercial realities. Everyone is looking forward to PCS, especially in light of the recent auctions. We see an explosion of technical alternatives for meeting the demand for wireless communications. We also have applications in search of the best technologies rather than the reverse. The papers included provide new insights into many of the issues needing resolution for the successful introduction of the new services by the end of the decade. The authors represent views from both industry and universities from a number of nations. They are grouped into four main categories: Architecture, Radio Resource Management, Access, and Mobile Data, Mobile Networks.
Publisher: Springer Science & Business Media
ISBN: 1461313538
Category : Technology & Engineering
Languages : en
Pages : 397
Book Description
In April 1995, WINLAB (the Wireless Infonnation Network Lab oratory at Rutgers University) hosted the Fifth WINLAB Workshop on Third Generation Wireless Infonnation Networks. This workshop brings together a select group of experts interested in the future of Personal Communications, Mobile Computing and other services supported by wireless communications. As a sequel to Kluwer books on previous WINLAB workshops,l this volume assembles written versions of presentations of the Fifth Workshop. The last few years have been exciting for the field of wireless communications. The second generation systems that have absorbed our attention during those years are becoming commercial realities. Everyone is looking forward to PCS, especially in light of the recent auctions. We see an explosion of technical alternatives for meeting the demand for wireless communications. We also have applications in search of the best technologies rather than the reverse. The papers included provide new insights into many of the issues needing resolution for the successful introduction of the new services by the end of the decade. The authors represent views from both industry and universities from a number of nations. They are grouped into four main categories: Architecture, Radio Resource Management, Access, and Mobile Data, Mobile Networks.
Computerworld
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
Book Description
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
Book Description
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
Catalog of Copyright Entries. Third Series
Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1406
Book Description
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1406
Book Description