caa a22 4500 463245520 CHVBK 20180405153324.0 cr unu---uuuuu 170326e20070501xx s 000 0 eng 10.1007/s00422-006-0138-9 doi (NATIONALLICENCE)springer-10.1007/s00422-006-0138-9 Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations [Elektronische Daten] [Simone Kühn, Holk Cruse] Modelling the cognitive abilities of humans or animals or building agents that are supposed to behave cognitively requires modelling a memory system that is able to store and retrieve various contents. The content to be stored is assumed to comprise information about more or less invariant environmental objects as well as information about movements. A combination of information about both objects and movements may be called a situation model. Here we focus, in part, on models storing dynamic patterns. In particular, two abilities of humans in representing dynamical systems receive special focus: the capability of representing the acceleration of objects, as can be found in the movement of a pendulum or freely falling objects, and the capability of representing actions of transfer, i.e. motion from one point to another, have been modelled using recurrent networks consisting of input compensation units. In addition, possibilities of combining static and dynamic properties within a single model are studied. Springer-Verlag, 2007 Kühn Simone Department of Biological Cybernetics, Faculty of Biology, University of Bielefeld, 33501, Bielefeld, Germany aut Cruse Holk Department of Biological Cybernetics, Faculty of Biology, University of Bielefeld, 33501, Bielefeld, Germany aut Biological Cybernetics Springer-Verlag 96/5(2007-05-01), 471-486 0340-1200 96:5<471 2007 96 422 https://doi.org/10.1007/s00422-006-0138-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00422-006-0138-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kühn Simone Department of Biological Cybernetics, Faculty of Biology, University of Bielefeld, 33501, Bielefeld, Germany aut NATIONALLICENCE 700 1- Cruse Holk Department of Biological Cybernetics, Faculty of Biology, University of Bielefeld, 33501, Bielefeld, Germany aut NATIONALLICENCE 773 0- Biological Cybernetics Springer-Verlag 96/5(2007-05-01), 471-486 0340-1200 96:5<471 2007 96 422 Metadata rights reserved Springer special CC-BY-NC licence nationallicence SWISSBIB 463245520 BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer