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      Fractals in the Nervous System: Conceptual Implications for Theoretical Neuroscience

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          Abstract

          This essay is presented with two principal objectives in mind: first, to document the prevalence of fractals at all levels of the nervous system, giving credence to the notion of their functional relevance; and second, to draw attention to the as yet still unresolved issues of the detailed relationships among power-law scaling, self-similarity, and self-organized criticality. As regards criticality, I will document that it has become a pivotal reference point in Neurodynamics. Furthermore, I will emphasize the not yet fully appreciated significance of allometric control processes. For dynamic fractals, I will assemble reasons for attributing to them the capacity to adapt task execution to contextual changes across a range of scales. The final Section consists of general reflections on the implications of the reviewed data, and identifies what appear to be issues of fundamental importance for future research in the rapidly evolving topic of this review.

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          Emergence of scaling in random networks

          Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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            Statistical mechanics of complex networks

            Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links. While traditionally these systems were modeled as random graphs, it is increasingly recognized that the topology and evolution of real networks is governed by robust organizing principles. Here we review the recent advances in the field of complex networks, focusing on the statistical mechanics of network topology and dynamics. After reviewing the empirical data that motivated the recent interest in networks, we discuss the main models and analytical tools, covering random graphs, small-world and scale-free networks, as well as the interplay between topology and the network's robustness against failures and attacks.
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              Diffusion-Limited Aggregation, a Kinetic Critical Phenomenon

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                Author and article information

                Journal
                Front Physiol
                Front. Physiology
                Frontiers in Physiology
                Frontiers Research Foundation
                1664-042X
                26 May 2010
                06 July 2010
                2010
                : 1
                : 15
                Affiliations
                [1] 1simpleDepartment of Biomedical Engineering, University of Texas at Austin TX, USA
                Author notes

                Edited by: Dante R. Chialvo, Northwestern University, USA

                Reviewed by: Henrik J. Jensen, Imperial College London, UK; Matias Palva, University of Helsinki, Finland

                *Correspondence: Gerhard Werner, Department of Biomedical Engineering, University of Texas at Austin, TX, USA. e-mail: gwer1@ 123456mail.utexas.edu

                This article was submitted to Frontiers in Fractal Physiology, a specialty of Frontiers in Physiology.

                Article
                10.3389/fphys.2010.00015
                3059969
                21423358
                ee6de34c-4084-444b-8b97-2a38b7aca710
                Copyright © 2010 Werner.

                This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

                History
                : 18 April 2010
                : 05 June 2010
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 442, Pages: 28, Words: 32124
                Categories
                Physiology
                Review Article

                Anatomy & Physiology
                self-organization,self-similarity,metastability,criticality,coordination dynamics,phase transitions

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