LEADER 01852nam 2200433z- 450 001 9910346940903321 005 20210211 010 $a1000006636 035 $a(CKB)4920000000101113 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53754 035 $a(oapen)doab53754 035 $a(EXLCZ)994920000000101113 100 $a20202102d2007 |y 0 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aModellsimulationen zur Stro?mungsversta?rkung von orographischen Grundstrukturen bei Sturmsituationen 210 $cKIT Scientific Publishing$d2007 215 $a1 online resource (VI, 173 p. p.) 225 1 $aWissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung der Universität Karlsruhe (TH) 311 08$a3-86644-140-1 330 $aIn dieser Arbeit wird der Einfluss orographischer Gela?ndestrukturen hinsichtlich ihrer windversta?rkenden Wirkung untersucht. Dies erfolgt mit Hilfe des mesoskaligen meteorologischen Modells KAMM2, welches atmospha?rische Stro?mungen numerisch berechnet. Die Ergebnisse zeigen Regionen mit erho?hten Windgeschwindigkeiten fu?r idealisierte orographische Strukturen sowie fu?r komplexes Gela?nde auf. 606 $aPhysics$2bicssc 610 $aModellierung 610 $aNumerisches Modell 610 $aOrographie 610 $aorographisch bedingte Stro?mungsversta?rkung 610 $aSturm 610 $aSturmgefa?hrdung 610 $aUmweltaerodynamik 610 $aWind 615 7$aPhysics 700 $aLux$b Ralph$4auth$01307604 906 $aBOOK 912 $a9910346940903321 996 $aModellsimulationen zur Strömungsverstärkung von orographischen Grundstrukturen bei Sturmsituationen$93028843 997 $aUNINA LEADER 04421nam 2200433z- 450 001 9910220040403321 005 20210211 035 $a(CKB)3800000000216373 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40834 035 $a(oapen)doab40834 035 $a(EXLCZ)993800000000216373 100 $a20202102d2017 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAnatomy and Plasticity in Large-Scale Brain Models 210 $cFrontiers Media SA$d2017 215 $a1 online resource (173 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-065-1 330 $aSupercomputing facilities are becoming increasingly available for simulating activity dynamics in large-scale neuronal networks. On today's most advanced supercomputers, networks with up to a billion of neurons can be readily simulated. However, building biologically realistic, full-scale brain models requires more than just a huge number of neurons. In addition to network size, the detailed local and global anatomy of neuronal connections is of crucial importance. Moreover, anatomical connectivity is not fixed, but can rewire throughout life (structural plasticity)-an aspect that is missing in most current network models, in which plasticity is confined to changes in synaptic strength (synaptic plasticity). The papers in this Ebook, which may broadly be divided into three themes, aim to bring together high-performance computing with recent experimental and computational research in neuroanatomy. In the first theme (fiber connectivity), new methods are described for measuring and data-basing microscopic and macroscopic connectivity. In the second theme (structural plasticity), novel models are introduced that incorporate morphological plasticity and rewiring of anatomical connections. In the third theme (large-scale simulations), simulations of large-scale neuronal networks are presented with an emphasis on anatomical detail and plasticity mechanisms. Together, the articles in this Ebook make the reader aware of the methods and models by which large-scale brain networks running on supercomputers can be extended to include anatomical detail and plasticity.Supercomputing facilities are becoming increasingly available for simulating activity dynamics in large-scale neuronal networks. On today's most advanced supercomputers, networks with up to a billion of neurons can be readily simulated. However, building biologically realistic, full-scale brain models requires more than just a huge number of neurons. In addition to network size, the detailed local and global anatomy of neuronal connections is of crucial importance. Moreover, anatomical connectivity is not fixed, but can rewire throughout life (structural plasticity)-an aspect that is missing in most current network models, in which plasticity is confined to changes in synaptic strength (synaptic plasticity). The papers in this Ebook, which may broadly be divided into three themes, aim to bring together high-performance computing with recent experimental and computational research in neuroanatomy. In the first theme (fiber connectivity), new methods are described for measuring and data-basing microscopic and macroscopic connectivity. In the second theme (structural plasticity), novel models are introduced that incorporate morphological plasticity and rewiring of anatomical connections. In the third theme (large-scale simulations), simulations of large-scale neuronal networks are presented with an emphasis on anatomical detail and plasticity mechanisms. Together, the articles in this Ebook make the reader aware of the methods and models by which large-scale brain networks running on supercomputers can be extended to include anatomical detail and plasticity. 606 $aNeurosciences$2bicssc 610 $aAnatomy 610 $abrain models 610 $aconnectivity 610 $ahigh-performance computing 610 $asimulation 610 $astructural plasticity 610 $aSupercomputing 615 7$aNeurosciences 700 $aArjen van Ooyen$4auth$01353112 702 $aMarkus Butz$4auth 702 $aWolfram Schenck$4auth 906 $aBOOK 912 $a9910220040403321 996 $aAnatomy and Plasticity in Large-Scale Brain Models$93220458 997 $aUNINA