Abstract
This essay studies the relationship between recent advances in brain monitoring and modeling techniques, with the promise of identifying neural correlates of higher cognitive functions and consciousness. In this work we address the issue of the interpretation of the corresponding results, with special emphasis on the hypothesis of localized brain representations. We propose a dynamical systems theory framework to resolve the apparent contradiction between localized representations and large-scale, distributed (global) brain processing principles. Our dynamic model is a manifestation of Dreyfus’ situated intelligence, following the traditions of Merleau-Ponty. This approach finds its applications in embodied intelligent systems and intentionality in animals and in man-made devices.
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Acknowledgements
This work has been presented at the 2013 Dynamic Brain Forum (DBF), as part of ICCN2013, with the kind support of the DBF Foundation. via the Center for Integrative Mathematics, Hokkaido University, Japan. This research has been supported in part by DARPA Physical Intelligence program, through a contract with Hughes Research Laboratory (HRL), Malibu, CA (Dr. N. Srinivasa, Program Director), and by NSF CRCNS Program 13-11165.
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Kozma, R. (2015). Metastable Activity Patterns in Cortical Dynamics and the Illusion of Localized Representations. In: Liljenström, H. (eds) Advances in Cognitive Neurodynamics (IV). Advances in Cognitive Neurodynamics. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9548-7_72
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DOI: https://doi.org/10.1007/978-94-017-9548-7_72
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