23
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      On the dynamics of cortical development: synchrony and synaptic self-organization

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We describe a model for cortical development that resolves long-standing difficulties of earlier models. It is proposed that, during embryonic development, synchronous firing of neurons and their competition for limited metabolic resources leads to selection of an array of neurons with ultra-small-world characteristics. Consequently, in the visual cortex, macrocolumns linked by superficial patchy connections emerge in anatomically realistic patterns, with an ante-natal arrangement which projects signals from the surrounding cortex onto each macrocolumn in a form analogous to the projection of a Euclidean plane onto a Möbius strip. This configuration reproduces typical cortical response maps, and simulations of signal flow explain cortical responses to moving lines as functions of stimulus velocity, length, and orientation. With the introduction of direct visual inputs, under the operation of Hebbian learning, development of mature selective response “tuning” to stimuli of given orientation, spatial frequency, and temporal frequency would then take place, overwriting the earlier ante-natal configuration. The model is provisionally extended to hierarchical interactions of the visual cortex with higher centers, and a general principle for cortical processing of spatio-temporal images is sketched.

          Related collections

          Most cited references96

          • Record: found
          • Abstract: found
          • Article: not found

          Specification of cerebral cortical areas.

          P Rakic (1988)
          How the immense population of neurons that constitute the human cerebral neocortex is generated from progenitors lining the cerebral ventricle and then distributed to appropriate layers of distinctive cytoarchitectonic areas can be explained by the radial unit hypothesis. According to this hypothesis, the ependymal layer of the embryonic cerebral ventricle consists of proliferative units that provide a proto-map of prospective cytoarchitectonic areas. The output of the proliferative units is translated via glial guides to the expanding cortex in the form of ontogenetic columns, whose final number for each area can be modified through interaction with afferent input. Data obtained through various advanced neurobiological techniques, including electron microscopy, immunocytochemistry, [3H]thymidine and receptor autoradiography, retrovirus gene transfer, neural transplants, and surgical or genetic manipulation of cortical development, furnish new details about the kinetics of cell proliferation, their lineage relationships, and phenotypic expression that favor this hypothesis. The radial unit model provides a framework for understanding cerebral evolution, epigenetic regulation of the parcellation of cytoarchitectonic areas, and insight into the pathogenesis of certain cortical disorders in humans.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Neuronal synchrony: a versatile code for the definition of relations?

            W. Singer (1999)
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Dynamics of pattern formation in lateral-inhibition type neural fields.

              S Amari (1977)
                Bookmark

                Author and article information

                Journal
                Front Comput Neurosci
                Front Comput Neurosci
                Front. Comput. Neurosci.
                Frontiers in Computational Neuroscience
                Frontiers Media S.A.
                1662-5188
                15 February 2013
                2013
                : 7
                : 4
                Affiliations
                [1] 1Department of Psychological Medicine, Faculty of Medicine, The University of Auckland Auckland, New Zealand
                [2] 2Liggins Institute, The University of Auckland Auckland, New Zealand
                [3] 3iVEC@UWA, University of Western Australia Perth, WA, Australia
                Author notes

                Edited by: Peter Beim Graben, Humboldt-Universität zu Berlin, Germany

                Reviewed by: Maurizio Mattia, Istituto Superiore di Sanità, Italy; Peter Beim Graben, Humboldt-Universität zu Berlin, Germany

                *Correspondence: James Joseph Wright, Department of Psychological Medicine, Faculty of Medical and Health Sciences, School of Medicine, The University of Auckland, PB 92019, Auckland, New Zealand. e-mail: james.wright@ 123456auckland.ac.nz
                Article
                10.3389/fncom.2013.00004
                3573321
                23596410
                26e35445-0d89-4ded-858c-afcd9e94df56
                Copyright © 2013 Wright and Bourke.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 12 October 2012
                : 24 January 2013
                Page count
                Figures: 8, Tables: 1, Equations: 35, References: 117, Pages: 17, Words: 13067
                Categories
                Neuroscience
                Hypothesis and Theory Article

                Neurosciences
                synchronous oscillation,cortical development,synaptic organization,cortical response properties,cortical information flow

                Comments

                Comment on this article