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Title: Collective rhythmicity in biological oscillator ensembles

Conference ·
OSTI ID:54414
;  [1]
  1. Florida Atlantic Univ., Boca Raton, FL (United States)

Many biological phenomena, including peristalsis, circadian rhythms, and cardiac synchronization, may be modeled in terms of the collective behavior of non-linear oscillator ensembles. The possible types of synergetics include modelocking, amplitude death, quasiperiodicity, and chaos. This paper presents large-scale simulations on a SIMD-computer with a mesh architecture (the MasPar-1 or DECmpp 12000 system) of one- and two-dimensional arrays of disparate limit-cycle oscillators. The simulations have been optimized for this type of architecture and permit the determination of the collective behavior over time scales and for system sizes that are much larger than has hitherto been feasible.

OSTI ID:
54414
Report Number(s):
DOE/ER/25151-1-Vol.1; CONF-930331-Vol.1; TRN: 94:007584-0050
Resource Relation:
Conference: 6. Society for Industrial and Applied Mathematics (SIAM) conference on parallel processing for scientific computing, Norfolk, VA (United States), 21-24 Mar 1993; Other Information: PBD: 1993; Related Information: Is Part Of Parallel processing for scientific computing: Proceedings. Volume 1; Sincovec, R.F.; Leuze, M.R. [eds.] [Oak Ridge National Lab., TN (United States)]; Keyes, D.E. [ed.] [Yale Univ., New Haven, CT (United States)]; Petzold, L.R. [ed.] [Minnesota Univ., Minneapolis, MN (United States)]; Reed, D.A. [ed.] [Illinois Univ., Chicago, IL (United States)]; PB: 522 p.
Country of Publication:
United States
Language:
English