Literature DB >> 22253177

Multifractal dynamics in the emergence of cognitive structure.

James A Dixon1, John G Holden, Daniel Mirman, Damian G Stephen.   

Abstract

The complex-systems approach to cognitive science seeks to move beyond the formalism of information exchange and to situate cognition within the broader formalism of energy flow. Changes in cognitive performance exhibit a fractal (i.e., power-law) relationship between size and time scale. These fractal fluctuations reflect the flow of energy at all scales governing cognition. Information transfer, as traditionally understood in the cognitive sciences, may be a subset of this multiscale energy flow. The cognitive system exhibits not just a single power-law relationship between fluctuation size and time scale but actually exhibits many power-law relationships, whether over time or space. This change in fractal scaling, that is, multifractality, provides new insights into changes in energy flow through the cognitive system. We survey recent findings demonstrating the role of multifractality in (a) understanding atypical developmental outcomes, and (b) predicting cognitive change. We propose that multifractality provides insights into energy flows driving the emergence of cognitive structure.
Copyright © 2011 Cognitive Science Society, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 22253177     DOI: 10.1111/j.1756-8765.2011.01162.x

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  22 in total

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4.  Eye movement dynamics and cognitive self-organization in typical and atypical development.

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6.  The blue-collar brain.

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7.  Astronomical apology for fractal analysis: spectroscopy's place in the cognitive neurosciences.

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8.  Unveiling complexity: non-linear and fractal analysis in neuroscience and cognitive psychology.

Authors:  Tobias A Mattei
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9.  Distinguishing cognitive state with multifractal complexity of hippocampal interspike interval sequences.

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Review 10.  Fractal dimension of chromatin: potential molecular diagnostic applications for cancer prognosis.

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