Complex Human Dynamics: From Mind to Societies by Andrzej Nowak, Katarzyna Winkowska-Nowak, David Brée

By Andrzej Nowak, Katarzyna Winkowska-Nowak, David Brée

This ebook, edited and authored by way of a heavily taking part community of social scientists and psychologists, recasts usual study subject matters in those fields into the language of nonlinear, dynamic and intricate structures. the purpose is to supply scientists with varied backgrounds - physics, utilized arithmetic and computing device sciences - with the chance to use the instruments in their alternate to an altogether new variety of attainable functions. even as, this ebook will function a primary reference for a brand new iteration of social scientists and psychologists wishing to familiarize themselves with the recent technique and the "thinking in complexity".

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It has been a century now since we learned that the brain is a network. In the beginning of the twentieth century Santiago Ramon y Cajal ended a long standing debate on whether the neural system is composed of separate cells or a continuous mass of tissue; with histological imaging y Cajal and Azoulay (1911) proved without doubt that it was the former. These cells communicate with each other at special junction points – the synapses. While a substantial amount of research has been devoted to tracking specific connections and pathways within this web of neurons, the network nature of the brain as such has only recently been subjected to investigation with network tools.

J. Neurosci. : Investigating neural correlates of conscious perception by frequency-tagged neuromagnetic responses. Proc. Natl. Acad. Sci. A. : Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach. Phys. Rev. E 77(5), 050905 (2008). : The correlation theory of brain function. L. ) Models of Neural Networks II: Temporal Aspects of Coding and Information Processing in Biological Systems, Chapter 2, pp. 95–119. Springer, New York (1994) 34 A. : Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization.

The evaluative differentiation visible on the level of the system is not related to the operation of any higher order supervisory mechanism but results from rules that dictate behavior of individual elements (Vallacher and Nowak 2000). What these local interactions will eventually produce depends on the existing structure of the system (how the constituent parts are organized) and on the nature of influences between the elements (due to the press for integration individual elements try to achieve evaluative congruence by changing their evaluative state).

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