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The Graph Theoretical Approach in Brain Functional Networks

functional networks contain multiple frequency channels along which information is transmitted. The graph theoretical approach represents an;

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Chemical Reaction Networks

-Theoretical Approach elegantly reviews and expands upon graph theory as applied to mechanistic theory, chemical kinetics, and catalysis. The;

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Chemical Reaction Networks

-Theoretical Approach elegantly reviews and expands upon graph theory as applied to mechanistic theory, chemical kinetics, and catalysis. The;

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Biological Network Analysis

Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph;

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Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

excitatory functional links. The book reports on statistical methods to compute the most significant functional connectivity graph, and shows how to;

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Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies

excitatory functional links. The book reports on statistical methods to compute the most significant functional connectivity graph, and shows how to;

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Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics

shift from an anatomical to a functional perspective of the brain Edited work with chapters authored by leaders in the field around the;

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Combinatorial Functional Equations

in combinatorial maps, graphs, networks, etc. The first volume mainly presents basic concepts and the theoretical background. Differential (ordinary and;

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Handbook of Brain Connectivity

. But how can we integrate brain connectivity amongst these structural and functional domains? Our Handbook provides an account of the;

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Mathematical Psychology and Psychophysiology

of understanding mind and brain. The book's interdisciplinary approach permits a deeper understanding of theoretical advances as it formally structures a;

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Graphs and Networks

with applications to biology and the social and political sciences and gradually takes a more theoretical direction toward graph structure;

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Brain Banking

Brain Banking, Volume 150, serves as the only book on the market offering comprehensive coverage of the functional realities of brain;

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Neural Information Processing Part I

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Neural Information Processing Part II

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Neural Information Processing Part III

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Neural Information Processing Part IV

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Pain / Brain Stimulation in the Treatment of Pain

represents a consequence of dynamic plastic changes in sensory, affective and cognitive systems and related neuronal networks. The functional neural;

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Fifty Years of Magnetoencephalography

techniques for analyzing the magnetic signals and reconstructing, on their basis, the functional images of brain activity; and improvements in our;

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Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary;

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Introduction to Graph Neural Networks

in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the;

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Introduction to Graph Neural Networks

This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with;

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Statistical Analysis of Graph Structures in Random Variable Networks

measures of similarity (dependence) are discussed, and general statistical properties of identification algorithms are studied. The volume also;

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Graph Data Mining

to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present;

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Algebraic Graph Theory

- and functional or object oriented programming. The focus of this highly self-contained book is on homomorphisms and endomorphisms, matrices;

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Circuits in the Brain

unprecedented advances in experimental brain research which are, however, not matched by similar advances in theoretical insight. For this reason, the;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 10th International Workshop on Algorithms and Models for the Web Graph, WAW 2013;

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Functions of the Brain

detailed descriptions of different cognitive processes, Functions of the Brain: A Conceptual Approach to Cognitive Neuroscience focuses on how the;

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