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A network model for the emergence of orientation maps and local lateral circuits

Burger, Thomas and Lang, Elmar (1999) A network model for the emergence of orientation maps and local lateral circuits. In: Mira, José, (ed.) Foundations and tools for neural modeling. IWANN’99, Alicante, Spain, June 2–4, 1999. Proceedings, Volume I. Lecture notes in computer science, 1606. Springer, Berlin, pp. 421-430. ISBN 3-540-66069-0.

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We present a nonlinear, recurrent neural network model of the primary visual cortex with separate ON/OFF-pathways and modifiable afferent as well as intracortical synaptic couplings. Orientation maps emerge driven by random input stimuli. Lateral coupling structures self-organize into DOG profiles under the influence of pronounced emerging cortical activity blobs. The model’s architecture and features are, compared with former models, well justified neurobiologically.

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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Item ID:16849
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