000 | 03597nam a22005777a 4500 | ||
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001 | sulb-eb0024041 | ||
003 | BD-SySUS | ||
005 | 20160413122422.0 | ||
007 | cr nn 008mamaa | ||
008 | 121026s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642321573 _9978-3-642-32157-3 |
||
024 | 7 |
_a10.1007/978-3-642-32157-3 _2doi |
|
050 | 4 | _aQA273.A1-274.9 | |
050 | 4 | _aQA274-274.9 | |
072 | 7 |
_aPBT _2bicssc |
|
072 | 7 |
_aPBWL _2bicssc |
|
072 | 7 |
_aMAT029000 _2bisacsh |
|
082 | 0 | 4 |
_a519.2 _223 |
245 | 1 | 0 |
_aStochastic Biomathematical Models _h[electronic resource] : _bwith Applications to Neuronal Modeling / _cedited by Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXVI, 206 p. 34 illus., 13 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Mathematics, _x0075-8434 ; _v2058 |
|
505 | 0 | _a1 Introduction to stochastic models in biology -- 2 One-dimensional homogeneous diffusions -- 3 A brief introduction to large deviations theory -- 4 Some numerical methods for rare events simulation and analysis -- 5 Stochastic Integrate and Fire models: a review on mathematical methods and their applications -- 6 Stochastic partial differential equations in Neurobiology: linear and nonlinear models for spiking neurons -- 7 Deterministic and stochastic FitzHugh-Nagumo systems -- 8 Stochastic modeling of spreading cortical depression. | |
520 | _aStochastic 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. | ||
650 | 0 | _aMathematics. | |
650 | 0 | _aNeurobiology. | |
650 | 0 | _aMathematical models. | |
650 | 0 | _aProbabilities. | |
650 | 0 | _aStatistics. | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
650 | 2 | 4 | _aMathematical Modeling and Industrial Mathematics. |
650 | 2 | 4 | _aStatistics for Life Sciences, Medicine, Health Sciences. |
650 | 2 | 4 | _aNeurobiology. |
700 | 1 |
_aBachar, Mostafa. _eeditor. |
|
700 | 1 |
_aBatzel, Jerry. _eeditor. |
|
700 | 1 |
_aDitlevsen, Susanne. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642321566 |
830 | 0 |
_aLecture Notes in Mathematics, _x0075-8434 ; _v2058 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-32157-3 |
912 | _aZDB-2-SMA | ||
912 | _aZDB-2-LNM | ||
942 |
_2Dewey Decimal Classification _ceBooks |
||
999 |
_c46133 _d46133 |