Titlebook: Coordinated Activity in the Brain; Measurements and Rel Jose Luis Perez Velazquez,Richard Wennberg Book 2009 Springer Science+Business Medi

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Synchrony in Neural Networks Underlying Seizure Generation in Human Partial Epilepsies,ximately 30% of cases are resistant to antiepileptic drugs. In this situation, surgical resection of the EZ is the only therapeutic option able to suppress seizures or, at least, to significantly reduce their frequency. The localization and the definition of the EZ are therefore crucial issues in ep

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Detection of Phase Synchronization in Multivariate Single Brain Signals by a Clustering Approach,ong different areas of the cortex, it is biologically plausible to determine dependencies of oscillatory signals such as their phase relation both within and across areas. The chapter introduces a cluster approach algorithm to detect phase synchronization in single brain signals. The introduced sync

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Denoising and Averaging Techniques for Electrophysiological Data,his may amount to figures of −25 dB (Flexer, 2000), for electromyography (EMG) or functional magnetic resonance imaging (fMRI) the situation is similar. The problem of the recovery of information under noise has been dealt with extensively in the literature of signal and image processing (Whalen, 19

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Dissection of Synchronous Population Discharges In Vitro,nce of oscillations such as the theta and gamma rhythms of the hippocampus (Bragin et al., 1995; Buzsaki et al., 1983; Leung, 1992). Sleep phases are recognized by distinct rhythmic synchronous patterns (Steriade and Timofeev, 2003). Neuronal synchrony is observed during perinatal development, in ma

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Complex Network Modeling: A New Approach to Neurosciences,ures and function of these systems. In this chapter, we focus on recent discoveries about the structure and function of complex networks to show how emergent properties in neuronal systems can be studied using the tools developed in the last several years. We first introduce basic notions to underst

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