LEADER 04062nam 22005535 450 001 9910338255603321 005 20200701225344.0 010 $a3-030-16585-X 024 7 $a10.1007/978-3-030-16585-7 035 $a(CKB)4100000008048006 035 $a(MiAaPQ)EBC5771168 035 $a(DE-He213)978-3-030-16585-7 035 $a(PPN)235669679 035 $a(EXLCZ)994100000008048006 100 $a20190429d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiological Systems: Nonlinear Dynamics Approach /$fedited by Jorge Carballido-Landeira, Bruno Escribano 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (111 pages) 225 1 $aSEMA SIMAI Springer Series,$x2199-3041 ;$v20 311 $a3-030-16584-1 327 $a1 J. Carballido-Landeira and B. Escribano, Biological Systems: Nonlinear Dynamics approach -- 2 M. Stich and C. Beta, Time-delay feedback control of an oscillatory medium -- 3 A. Peņaranda et al., Electrophysiological effects of small conductance Ca2+-activated K+ channels in atrial myocytes -- 4 D. Hochberg et al., Spontaneous Mirror Symmetry Breaking from Recycling in Enantioselective Polymerization -- 5 D. de Santos-Sierra et al., Self-organized cultured neuronal networks: longitudinal analysis and modeling of the underlying network structure -- 6 S. Alonso, Onset of mechanochemical pattern formation in poroviscoelastic models of active cytoplasm. 330 $aThis book collects recent advances in the field of nonlinear dynamics in biological systems. Focusing on medical applications as well as more fundamental questions in biochemistry, it presents recent findings in areas such as control in chemically driven reaction-diffusion systems, electrical wave propagation through heart tissue, neural network growth, chiral symmetry breaking in polymers and mechanochemical pattern formation in the cytoplasm, particularly in the context of cardiac cells. It is a compilation of works, including contributions from international scientists who attended the ?2nd BCAM Workshop on Nonlinear Dynamics in Biological Systems,? held at the Basque Center for Applied Mathematics, Bilbao in September 2016. Embracing diverse disciplines and using multidisciplinary approaches ? including theoretical concepts, simulations and experiments ? these contributions highlight the nonlinear nature of biological systems in order to be able to reproduce their complex behavior. Edited by the conference organizers and featuring results that represent recent findings and not necessarily those presented at the conference, the book appeals to applied mathematicians, biophysicists and computational biologists. 410 0$aSEMA SIMAI Springer Series,$x2199-3041 ;$v20 606 $aBiomathematics 606 $aStatistical physics 606 $aMathematical physics 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aTheoretical, Mathematical and Computational Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19005 615 0$aBiomathematics. 615 0$aStatistical physics. 615 0$aMathematical physics. 615 14$aMathematical and Computational Biology. 615 24$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aTheoretical, Mathematical and Computational Physics. 676 $a570 676 $a574 702 $aCarballido-Landeira$b Jorge$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEscribano$b Bruno$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910338255603321 996 $aBiological Systems$91668177 997 $aUNINA