Biological Motion: Proceedings of a Workshop Held in Königswinter, Germany, March 16–19, 1989Wolfgang Alt, Gerhard Hoffmann " . . . behavior is not, what an organism does itself, but to what we point. Therefore, whether a type of behavior of an organism is adequate as a certain configuration of movements, will depend on the environment in which we de scribe it. " (Humberto Maturana, Francisco Varela: El arbol del conocimiento, 1984) "A thorough analysis of behavior must result in a scheme, that shows all regularities that are to be found between the sensorical input and the motorical output of an animal. This scheme is an abstract representation of the brain. " (Valentin Braitenberg: Gehirngespinste, 1973) During the 70ies, when Biomathematics (beyond Biomedical Statistics and Com puting) became more popular at universities and research institutes, the problems dealt with came mainly from the general fields of 'Population Biology' and 'Complex Systems Analysis' such as epidemics, ecosystems analysis, morphogenesis, genetics, immunology and neurology (see the first series of Springer Lecture Notes in Biomathematics). Since then, the picture has not considerably changed, and it seems that "a thorough analysis of behavior" of single organisms and, moreover, of their mutual interactions, is far from being understood. On the contrary, mathematical modellers and analysts have been well advised to restrict their investigations to specific aspects of 'biological behavior', one of which is 'biological motion'. Until now, only a few Conference Proceedings or Lecture Notes have paid attention to this important aspect, some of the earlier examples being Vol. 24: 'The measurement of biological shape and shape changes' (1978) or Vol. |
Contents
Intracellular structures and cell shape | 9 |
Analysis | 35 |
Images of cells changing shape pseudopods skeletons | 42 |
Copyright | |
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active sliding analysis angle angular animal aphids approximation assay autocorrelation axis axonemal bacteria bacterium beat behaviour bending biological Brokaw Ca2+ calculated cell motility changes chemokinesis chemotactic chemotaxis cilia ciliary cilium coefficient concentration constant contralateral coordination curvature curve density described diffusion direction displacement distance distribution equation experimental fibroblasts field Figure fish flagellar flagellum flight frequency function gradient Gruler Häder helical insect ionomycine isopod kinesis klinokinesis larva Lauffenburger leukocytes locomotion locomotory Machemer H mathematical mean measured mechanisms membrane microtubules migration motion movement moving myosin myxobacteria nests observed organelles organism orientation oscillators Paramecium parameters path pattern pheromone phototaxis polarity population position pseudopod random motility random walk receptor response rotational segments shape signal simulations spatial gradient speed spermatozoa step stimulus stochastic swimming taxis tion track trail trajectory Tranquillo turning values variable vector velocity Weiss Zigmond