000 | 03431nam a22003855i 4500 | ||
---|---|---|---|
001 | 291602 | ||
003 | MX-SnUAN | ||
005 | 20160429154906.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2007 xxk| o |||| 0|eng d | ||
020 |
_a9781846287800 _99781846287800 |
||
024 | 7 |
_a10.1007/9781846287800 _2doi |
|
035 | _avtls000344012 | ||
039 | 9 |
_a201509030357 _bVLOAD _c201405050301 _dVLOAD _y201402061246 _zstaff |
|
040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
||
050 | 4 | _aTK5105.5-5105.9 | |
100 | 1 |
_aFeng, Jianfeng. _eeditor. _9321742 |
|
245 | 1 | 0 |
_aNetworks: From Biology to Theory / _cedited by Jianfeng Feng, Jürgen Jost, Minping Qian. |
264 | 1 |
_aLondon : _bSpringer London, _c2007. |
|
300 |
_axxv, 313 páginas _brecurso en línea. |
||
336 |
_atexto _btxt _2rdacontent |
||
337 |
_acomputadora _bc _2rdamedia |
||
338 |
_arecurso en línea _bcr _2rdacarrier |
||
347 |
_aarchivo de texto _bPDF _2rda |
||
500 | _aSpringer eBooks | ||
505 | 0 | _aTheory -- The Category of X-Nets -- Networks with Delays -- Dynamical Networks -- Applications in Neuroscience -- Neuronal Computation Using High-Order Statistics -- Neuronal Model of Decision Making -- Estimation of Spike Train Statistics in Spontaneously Active Biological Neural Networks -- Physiology and Related Models of Associative Visual Processing -- Gestalt Formation in a Competitive Layered Neural Architecture -- Applications in Bioinformatics -- Regulatory Signals in Genomic Sequences -- Dynamic Properties of Cell-Cycle and Life-Cycle Networks in Budding Yeast -- Understanding Protein-Protein Interactions: From Domain Level to Motif Level -- An Efficient Algorithm for Deciphering Regulatory Motifs -- The Stochastic Model and Metastability of the Gene Network -- Messenger RNA Information: Its Implication in Protein Structure Determination and Others. | |
520 | _aDuring the past decades, we have witnessed the thriving development of new mathematical, computational and theoretical approaches such as bioinformatics and neuroinformatics to tackle some fundamental issues in biology. These scientific approaches focus no longer on individual units, such as nerve cells or genes, but rather on the emerging dynamic patterns of interactions between them. These concentrate on the interplay between the local dynamics and activity transmissions on one side and the global structure of the underlying connection scheme on the other hand. In this light, the concept of a network emerges as a powerful and stimulating research paradigm in mathematics, physics and computer science, and demonstrates a very lively interaction between experimental findings, simulation studies, and theoretical investigations that then in turn lead to new experimental questions. This volume explores this concept in full and features contributions from a truly global set of contributors, many of whom are pre-eminent in their respective fields. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aJost, Jürgen. _eeditor. _9304435 |
|
700 | 1 |
_aQian, Minping. _eeditor. _9322982 |
|
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
|
776 | 0 | 8 |
_iEdición impresa: _z9781846284854 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-780-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
942 | _c14 | ||
999 |
_c291602 _d291602 |