Faithful retinotopic maps with local optimum rules, axonal competition, and Hebbian learning

Innervation of the visual midbrain by axons from the retina can be described as a stochastic mapping process that maintains topography and polarity between the two regions. Previous work has identified a number of mechanisms that insure proper guidance of the axons. In the current report, we combine...

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Bibliographic Details
Published inProceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005 Vol. 5; pp. 2760 - 2765 vol. 5
Main Authors Thivierget, J.-P., Balaban, E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Birds
Hebbian theory
Marine animals
Nerve fibers
Psychology
Retina
Servomechanisms
Stochastic processes
Surfaces
Visual system
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Summary:Innervation of the visual midbrain by axons from the retina can be described as a stochastic mapping process that maintains topography and polarity between the two regions. Previous work has identified a number of mechanisms that insure proper guidance of the axons. In the current report, we combine three of these mechanisms, servomechanical guidance with local optimum rules, axonal competition, and Hebbian plasticity. Although each of these separate processes are stochastic and therefore subject to imprecision, their combination guides growth cones to precise termination points.
ISBN:0780390482
9780780390485
ISSN:2161-4393
DOI:10.1109/IJCNN.2005.1556362