Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations

Kühn S, Cruse H (2007)
Biological Cybernetics 96(5): 471-486.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Erscheinungsjahr
2007
Zeitschriftentitel
Biological Cybernetics
Band
96
Ausgabe
5
Seite(n)
471-486
ISSN
0340-1200
eISSN
1432-0770
Page URI
https://pub.uni-bielefeld.de/record/1594061

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Kühn S, Cruse H. Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations. Biological Cybernetics. 2007;96(5):471-486.
Kühn, S., & Cruse, H. (2007). Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations. Biological Cybernetics, 96(5), 471-486. doi:10.1007/s00422-006-0138-9
Kühn, S., and Cruse, H. (2007). Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations. Biological Cybernetics 96, 471-486.
Kühn, S., & Cruse, H., 2007. Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations. Biological Cybernetics, 96(5), p 471-486.
S. Kühn and H. Cruse, “Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations”, Biological Cybernetics, vol. 96, 2007, pp. 471-486.
Kühn, S., Cruse, H.: Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations. Biological Cybernetics. 96, 471-486 (2007).
Kühn, Simone, and Cruse, Holk. “Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations”. Biological Cybernetics 96.5 (2007): 471-486.

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