Literature DB >> 9738500

Spontaneous pinwheel annihilation during visual development.

F Wolf1, T Geisel.   

Abstract

Neurons in the visual cortex respond preferentially to edge-like stimuli of a particular orientation. It is a long-standing hypothesis that orientation selectivity arises during development through the activity-dependent refinement of cortical circuitry. Unambiguous evidence for such a process has, however, remained elusive. Here we argue that, if orientation preferences arise through activity-dependent refinement of initially unselective patterns of synaptic connections, this process should leave distinct signatures in the emerging spatial pattern of preferred orientations. Preferred orientations typically change smoothly and progressively across the cortex. This smooth progression is disrupted at the centres of so-called pinwheels, where neurons exhibiting the whole range of orientation preferences are located in close vicinity. Assuming that orientation selectivity develops through a set of rules that we do not specify, we demonstrate mathematically that the spatial density of pinwheels is rigidly constrained by basic symmetry principles. In particular, the spatial density of pinwheels, which emerge when orientation selectivity is first established, is larger than a model-independent minimal value. As a consequence, lower densities, if observed in adult animals, are predicted to develop through the motion and annihilation of pinwheel pairs.

Mesh:

Year:  1998        PMID: 9738500     DOI: 10.1038/25736

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  30 in total

1.  Plasticity of orientation preference maps in the visual cortex of adult cats.

Authors:  Ben Godde; Ralph Leonhardt; Sven M Cords; Hubert R Dinse
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

2.  Symmetry considerations and development of pinwheels in visual maps.

Authors:  Ha Youn Lee; Mehdi Yahyanejad; Mehran Kardar
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-12       Impact factor: 11.205

3.  Genetic influence on quantitative features of neocortical architecture.

Authors:  Matthias Kaschube; Fred Wolf; Theo Geisel; Siegrid Löwel
Journal:  J Neurosci       Date:  2002-08-15       Impact factor: 6.167

4.  Shaping of receptive fields in the visual cortex during retinal maturation.

Authors:  Norbert Mayer; J Michael Herrmann; Theo Geisel
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

5.  Generalized spin models for coupled cortical feature maps obtained by coarse graining correlation based synaptic learning rules.

Authors:  Peter J Thomas; Jack D Cowan
Journal:  J Math Biol       Date:  2011-11-19       Impact factor: 2.259

6.  Online learning and stimulus-driven responses of neurons in visual cortex.

Authors:  Huajin Tang; Haizhou Li; Zhang Yi
Journal:  Cogn Neurodyn       Date:  2010-12-01       Impact factor: 5.082

7.  Reorganization of columnar architecture in the growing visual cortex.

Authors:  Wolfgang Keil; Karl-Friedrich Schmidt; Siegrid Löwel; Matthias Kaschube
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-21       Impact factor: 11.205

8.  Universal transition from unstructured to structured neural maps.

Authors:  Marvin Weigand; Fabio Sartori; Hermann Cuntz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-03       Impact factor: 11.205

9.  Universality in the evolution of orientation columns in the visual cortex.

Authors:  Matthias Kaschube; Michael Schnabel; Siegrid Löwel; David M Coppola; Leonard E White; Fred Wolf
Journal:  Science       Date:  2010-11-04       Impact factor: 47.728

10.  Coverage, continuity, and visual cortical architecture.

Authors:  Wolfgang Keil; Fred Wolf
Journal:  Neural Syst Circuits       Date:  2011-12-29
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