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What and Who
Title:Self-organization in the brain: Structure formation in non-Euclidean spaces of stimuli
Speaker:Norbert Mayer
coming from:Max-Planck-Institut für Strömungsforschung
Speakers Bio:
Event Type:Lecture
Visibility:D1, D2, D3, D4
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Level:MPI Audience
Language:English
Date, Time and Location
Date:Wednesday, 28 February 2001
Time:14:15
Duration:90 Minutes
Location:Saarbrücken
Building:46.I
Room:007
Abstract
Self-organizing maps have shown their virtues in a number of technical applications, e.g. for image processing, image segmentation,

image compression, data mining, and data visualization.
This is not unexpected, since these algorithms have also been successfully used in models that concern the development of biological
neural systems responsible for image processing in animals.
The working hypothesis is that the visual system is optimized for processing stimulation from the natural enviroment i.e. the manifold of natural images, which represent only a small fraction of all combinationally possible pixel patterns.
The region of interest of the present approach is visual cortex, area V1.
Results from numerical investigations are presented, that are intended to reproduce the early development of this part of the brain.
In contrast to previous approaches, these models take into account that in general the above mentioned manifold is non-Euclidean.
The non-Euclidean approach yields an improved reproduction of topological phenomena that are found in the biological counterpart.
The results are discussed and compared with results from alternative explanations.

Contact
Name(s):Hans-Peter Seidel
Phone:0681 9325 400
EMail:--email address not disclosed on the web
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