Weighted Graph Comparison Techniques for Brain Connectivity Analysis

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Date: 2013-01-11 17:19:47 Algebraic graph theory Connectome Graph Adjacency matrix Connectivity Directed graph Working memory Visual analytics Social network analysis software Graph theory Mathematics Computational science		Weighted Graph Comparison Techniques for Brain Connectivity Analysis Add to Reading List Source URL: research.microsoft.com Download Document from Source Website File Size: 3,18 MB Share Document on Facebook

	PARALLEL FPGA-BASED ALL PAIRS SHORTEST PATHS FOR SPARSE NETWORKS: A HUMAN BRAIN CONNECTOME CASE STUDY Brahim Betkaoui1 , Yu Wang2 , David B. Thomas3 , Wayne Luk4 Department of Computing, Imperial College London Departmen DocID: 1t3oo - View Document
	Self-Directed Neuroplasticity, Mindfulness, and Meditation Visual StudiesAugust 25, 2011 Rick Hanson, Ph.D. The Wellspring Institute for Neuroscience and Contemplative Wisdom DocID: 1rqMc - View Document
	OLAF SPORNS – CURRICULUM VITAE BRIEF BIOGRAPHY After receiving an undergraduate degree in biochemistry, Olaf Sporns earned a PhD in neuroscience at Rockefeller University and then conducted postdoctoral work at The Neu DocID: 1qC2Z - View Document
	Elucidating interactions between behavior-generating circuits using functional and anatomical connectomics Application in response to PAS, funded as R01NS0954403 Daniel A. Wagenaar, University of Cincinnati 1 DocID: 1qq10 - View Document
	Date: 31 Oct 2011 Version: 8 The Brain Activity Map: Technological Foundations Overview This document is intended to provide an overview of the technical underpinnings that must be DocID: 1q8bh - View Document