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

http://nbn-resolving.de/urn:nbn:de:gbv:46-diss000006252
https://elib.suub.uni-bremen.de/peid=D00000625
urn:nbn:de:gbv:46-diss000006252
Emmert-Streib, Frank
2003
Universität Bremen: Physik/Elektrotechnik
Dissertation
Biological Learning, Complex Networks
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.
DNB
29
2005.10.24/12:16:12
Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus
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