Publikationsdatum:
1988-03-25
Beschreibung:
In the search for principles of pattern generation in complex biological systems, an operational approach is presented that embraces both theory and experiment. The central mathematical concepts of self-organization in nonequilibrium systems (including order parameter dynamics, stability, fluctuations, and time scales) are used to show how a large number of empirically observed features of temporal patterns can be mapped onto simple low-dimensional (stochastic, nonlinear) dynamical laws that are derivable from lower levels of description. The theoretical framework provides a language and a strategy, accompanied by new observables, that may afford an understanding of dynamic patterns at several scales of analysis (including behavioral patterns, neural networks, and individual neurons) and the linkage among them.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schoner, G -- Kelso, J A -- MH42900-01/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 1988 Mar 25;239(4847):1513-20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Systems, Florida Atlantic University, Boca Raton 33431.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/3281253" target="_blank"〉PubMed〈/a〉
Schlagwort(e):
Animals
;
Behavior/*physiology
;
Electrophysiology
;
Humans
;
Models, Biological
;
Motor Activity/physiology
;
*Nervous System Physiological Phenomena
;
Neurons/physiology
Print ISSN:
0036-8075
Digitale ISSN:
1095-9203
Thema:
Biologie
,
Chemie und Pharmazie
,
Informatik
,
Medizin
,
Allgemeine Naturwissenschaft
,
Physik
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