Literature DB >> 3401514

Spatial organization and genetic information in brain development.

A Gierer1.   

Abstract

In the course of brain development neurons acquire qualitative and quantitative biochemical and morphological properties which depend on the position of the cells within the nervous system. In the dimensions tangential to multilayered cell sheets mechanisms contributing to spatial order include induction by adjacent tissue as well as internal generation of morphogenetic fields (presumably by reactions involving autocatalysis and lateral inhibition). In the dimensions across the sheet cells of different types are produced in one layer and sort into another layer, guided presumably by contact mediated cell interaction. Positional and directional cues encoded in the developing brain are essentially involved in axonal guidance and the formation of neuronal connections. In mammals and man, the number of neurons and their connections in the brain is much higher than the number of genes. This is possible because there are repetitive neuronal circuits in the brain, and there is topographic order of connections between different brain areas. For instance, few quantitatively graded markers would suffice for specifying the projection of one area of the nervous system onto another, generating spatial order for a large number of fibers while requiring only a limited amount of genetic information. Higher brain functions, such as learning and memory, may logically require only a neural network consisting of repetitive subunits. On the other hand, it is an evolutionary advantage for an organism to be endowed, from the outset, with a pattern of neural connections which is subtly and quantitatively tuned for efficiency in dealing with the environment, while remaining flexible for change and adaptation in the course of learning.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1988        PMID: 3401514     DOI: 10.1007/bf00336886

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  35 in total

1.  [Capabilities of an associative storage system compared with the function of the brain (author's transl)].

Authors:  G Willwacher
Journal:  Biol Cybern       Date:  1976-11-30       Impact factor: 2.086

2.  Course corrections of deflected retinal axons on the tectum of the chick embryo.

Authors:  S Thanos; F Bonhoeffer
Journal:  Neurosci Lett       Date:  1986-12-03       Impact factor: 3.046

3.  Studies on pattern regulation in hydra. I. Regional differences in time required for hypostome determination.

Authors:  G Webster; L Wolpert
Journal:  J Embryol Exp Morphol       Date:  1966-08

4.  A topographic gradient of molecules in retina can be used to identify neuron position.

Authors:  G D Trisler; M D Schneider; M Nirenberg
Journal:  Proc Natl Acad Sci U S A       Date:  1981-04       Impact factor: 11.205

5.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

Review 6.  A marker induction mechanism for the establishment of ordered neural mappings: its application to the retinotectal problem.

Authors:  D J Willshaw; C von der Malsburg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1979-11-01       Impact factor: 6.237

7.  Branching of regenerating retinal axons and preferential selection of appropriate branches for specific neuronal connection in the newt.

Authors:  H Fujisawa; N Tani; K Watanabe; Y Ibata
Journal:  Dev Biol       Date:  1982-03       Impact factor: 3.582

8.  Specificity and plasticity of retinotectal connections: a computational model.

Authors:  V A Whitelaw; J D Cowan
Journal:  J Neurosci       Date:  1981-12       Impact factor: 6.167

9.  Development of projections between areas of the nervous system.

Authors:  A Gierer
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

10.  Formation of retinotopic connections: selective stabilization by an activity-dependent mechanism.

Authors:  J T Schmidt
Journal:  Cell Mol Neurobiol       Date:  1985-06       Impact factor: 5.046

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  3 in total

1.  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

2.  Genetic dissection of EphA receptor signaling dynamics during retinotopic mapping.

Authors:  Nicholas Bevins; Greg Lemke; Michaël Reber
Journal:  J Neurosci       Date:  2011-07-13       Impact factor: 6.167

Review 3.  Engrailed homeoproteins in visual system development.

Authors:  Andrea Wizenmann; Olivier Stettler; Kenneth L Moya
Journal:  Cell Mol Life Sci       Date:  2014-11-29       Impact factor: 9.261

  3 in total

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