LEADER 01627nam 2200469 450 001 000017799 005 20070503173500.0 100 $a20040915d1977----km-y0itay0103----ba 101 1 $afre 102 $aIT 200 1 $aLaisse-moi dormir$dFamme dorme$fAlbino Pierro$gtraduction de Madeleine Santschi et note de d'Antonio Pizzuto 200 1 $a1 $n0006055 210 $aMilano$cAll'insegna del pesce d'oro$d1977 215 $a94 p.$d17 cm. 225 2 $aAcquario$v93 300 $aTesto orig. a fronte 300 $aEd. in 1000 copie numerate 410 0$12001$aAcquario$v93 510 1 $aFamme dorme 676 $a851.9$v(21. ed.)$9Poesia italiana.1900- 700 1$aPierro,$bAlbino$0202611 701 1$aSantschi,$bMadeleine.$0442527 801 0$aIT$bUniversità della Basilicata - B.I.A.$gRICA$2unimarc 912 $a000017799 996 $aLaisse-moi dormir$984702 997 $aUNIBAS BAS $aMONLET BAS $aMONOGR BAS $aLETTERE CAT $aSTD036$b01$c20040915$lBAS01$h1035 CAT $aSTD036$b01$c20040915$lBAS01$h1113 CAT $aSTD036$b01$c20040915$lBAS01$h1214 CAT $aSTD036$b01$c20040915$lBAS01$h1216 CAT $aTROMBONE$b21$c20040920$lBAS01$h1134 CAT $c20050601$lBAS01$h1756 CAT $abatch$b01$c20050718$lBAS01$h1053 CAT $c20050718$lBAS01$h1112 CAT $c20050718$lBAS01$h1142 CAT $c20050718$lBAS01$h1157 CAT $aBATCH$b00$c20070503$lBAS01$h1735 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA1$APolo Storico-Umanistico$2GEN$BCollezione generale$3FP/86659$686659$5L86659$820040914$f02$FPrestabile Generale LEADER 02881nam 2200445z- 450 001 9910220056503321 005 20210211 035 $a(CKB)3800000000216213 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54520 035 $a(oapen)doab54520 035 $a(EXLCZ)993800000000216213 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNeuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity 210 $cFrontiers Media SA$d2016 215 $a1 online resource (156 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-884-7 330 $aStochastic fluctuations are intrinsic to and unavoidable at every stage of neural dynamics. For example, ion channels undergo random conformational changes, neurotransmitter release at synapses is discrete and probabilistic, and neural networks are embedded in spontaneous background activity. The mathematical and computational tool sets contributing to our understanding of stochastic neural dynamics have expanded rapidly in recent years. New theories have emerged detailing the dynamics and computational power of the balanced state in recurrent networks. At the cellular level, novel stochastic extensions to the classical Hodgkin-Huxley model have enlarged our understanding of neuronal dynamics and action potential initiation. Analytical methods have been developed that allow for the calculation of the firing statistics of simplified phenomenological integrate-and-fire models, taking into account adaptation currents or temporal correlations of the noise. This Research Topic is focused on identified physiological/internal noise sources and mechanisms. By "internal", we mean variability that is generated by intrinsic biophysical processes. This includes noise at a range of scales, from ion channels to synapses to neurons to networks. The contributions in this Research Topic introduce innovative mathematical analysis and/or computational methods that relate to empirical measures of neural activity and illuminate the functional role of intrinsic noise in the brain. 517 $aNeuronal Stochastic Variability 606 $aNeurosciences$2bicssc 610 $aBalanced network 610 $aChannel noise 610 $aheterogeneity 610 $aHodgkin-Huxley model 610 $aneural networks 610 $aneuronal variability 610 $astochastic dynamics 615 7$aNeurosciences 700 $aBenjamin Lindner$4auth$01311550 702 $aJoshua H. Goldwyn$4auth 702 $aMark D. McDonnell$4auth 906 $aBOOK 912 $a9910220056503321 996 $aNeuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity$93030411 997 $aUNINA