Notice bibliographique
- Notice
000 nam 22 3 450
001 FRBNF447052010000001
010 .. $a 9783642321573
035 .. $a OCoLC820128499
100 .. $a 20170801d2013 m y0engy50 ba
101 0. $a eng
102 .. $a DE
105 .. $a a ||||10|y|
106 .. $a s $a z
135 .. $a dru||||||||||
181 .0 $6 01 $a i $b xxxe
181 .. $6 02 $c txt $2 rdacontent
182 .0 $6 01 $a b
182 .. $6 02 $c c $2 rdamedia
200 1. $a Stochastic biomathematical models $b Texte électronique $e with applications to neuronal modeling $f Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen, editors
210 .. $a Heidelberg $c Springer $d cop. 2013
215 .. $a 1 ressource dématérialisée
225 1. $a Lecture notes in mathematics. Mathematical biosciences subseries $v 2058
300 .. $a Includes bibliographical references and index
330 .. $a Stochastic biomathematical models are becoming increasingly important as new light
is shed on the role of noise in living systems. In certain biological systems, stochastic
effects may even enhance a signal, thus providing a biological motivation for the
noise observed in living systems. Recent advances in stochastic analysis and increasing
computing power facilitate the analysis of more biophysically realistic models, and
this book provides researchers in computational neuroscience and stochastic systems
with an overview of recent developments. Key concepts are developed in chapters written
by experts in their respective fields. Topics include: one-dimensional homogeneous
diffusions and their boundary behavior, large deviation theory and its application
in stochastic neurobiological models, a review of mathematical methods for stochastic
neuronal integrate-and-fire models, stochastic partial differential equation models
in neurobiology, and stochastic modeling of spreading cortical depression
801 .3 $a US $b OCoLC $c 20170801 $h 820128499 $2 marc21
801 .0 $b NLM
930 .. $5 FR-759999999:44705201001001 $a ACQNUM-86967 $b 759999999 $c Document numérisé $d N
