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  4. Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus
Citation link
https://nbn-resolving.de/urn:nbn:de:gbv:46-diss000006252

Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus

Date Issued
2003-06-17
Author(s)
Emmert-Streib, Frank
Supervisors
Pawelzik, Klaus
Referees
Schuster, Heinz Georg
Pawelzik, Klaus
Abstract
In this thesis the action-perception-cycle, which is inherent in every cognitive system, is investigated by several special examples. These examples are taken from different levels of description and are biological motivated. Moreover, a novel Hebb-like learning rule for neural networks is introduced, which has not only interesting features by itself but establishes a connection to the action-perception-cycle and demonstrates the interplay between different levels of description.
Subjects
Biological Learning

; 

Complex Networks
Institution
Universität Bremen
Faculty
Fachbereich 01: Physik/Elektrotechnik (FB 01)
Type
Dissertation
Secondary publication
No
License
Alle Rechte vorbehalten
Language
German
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Name

E-Diss625_emmert.pdf

Size

10.4 MB

Format

Adobe PDF

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