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130626 ||| eng |
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|a 9783540715122
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| 100 |
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|a Jirsa, Viktor K.
|e [editor]
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| 245 |
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|a Handbook of Brain Connectivity
|h Elektronische Ressource
|c edited by Viktor K. Jirsa, A.R. McIntosh
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2007, 2007
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| 300 |
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|a X, 528 p
|b online resource
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|a Principles Underlying Structural and Functional Brain Connectivity -- Neuronal Dynamics and Brain Connectivity -- Time Delays in Neural Systems -- Connectivity and Dynamics in Local Cortical Networks -- Structural Determinants of Functional Brain Dynamics -- Anatomical Concepts of Brain Connectivity -- Technology of Structural and Functional Brain Imaging -- Primer on Electroencephalography for Functional Connectivity -- Functional Imaging of Brain Activity and Connectivity with MEG -- Insights into Brain Connectivity Using Quantitative MRI Measures of White Matter -- Analysis and Measures of Brain Connectivity -- Simulation Frameworks for Large-Scale Brain Systems -- Models of Effective Connectivity in Neural Systems -- Multichannel Data Analysis in Biomedical Research -- Beamforming and Its Applications to Brain Connectivity -- Frequency-Dependent Functional Connectivity Analysis of fMRI Data in Fourier and Wavelet Domains -- Behavioral, Developmental and Clinical Applications -- The Role of Neural Context in Large-Scale Neurocognitive Network Operations -- Neural Coordination Dynamics of Human Sensorimotor Behavior: A Review -- Maturation of Structural and Functional Connectivity in the Human Brain -- Brain Connectivity and the Spread of Epileptic Seizures -- Large Scale Brain Dynamics and Connectivity in the Minimally Conscious State
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| 653 |
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|a Neuroscience
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|a Mechanics, Applied
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| 653 |
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|a Complex Systems
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|a Engineering mathematics
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| 653 |
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|a Neurosciences
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| 653 |
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|a Dynamical Systems
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| 653 |
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|a Multibody Systems and Mechanical Vibrations
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| 653 |
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|a System theory
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| 653 |
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|a Vibration
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| 653 |
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|a Engineering / Data processing
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| 653 |
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|a Multibody systems
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| 653 |
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|a Biophysics
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| 653 |
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|a Mathematical and Computational Engineering Applications
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| 653 |
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|a Dynamical systems
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| 700 |
1 |
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|a McIntosh, A.R.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Understanding Complex Systems
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| 028 |
5 |
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|a 10.1007/978-3-540-71512-2
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| 856 |
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|u https://doi.org/10.1007/978-3-540-71512-2?nosfx=y
|x Verlag
|3 Volltext
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|a 620.3
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| 520 |
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|a Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks, which themselves are connected in large scales across the entire brain. The spatial architectures between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate brain connectivity amongst these structural and functional domains? Our Handbook provides an account of the current knowledge on the measurement, analysis and theory of the anatomical and functional connectivity of the brain. All contributors are leading experts in various fields concerning structural and functional brain connectivity. In the first part of the Handbook, the chapters focus on an introduction and discussion of the principles underlying connected neural systems. The second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain. Part three provides an overview of the analysis techniques currently available and highlights new developments. Part four introduces the application and translation of the concepts of brain connectivity to behavior, cognition and the clinical domain
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