| 000 | 03100nam a2200349 c 4500 | ||
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| 988 | _aSpringer_BiomedLife_2019 | ||
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_c115535 _d115535 _x1 |
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| 001 | 115535 | ||
| 003 | ESmaUEC | ||
| 005 | 20230104140044.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190617s2019 xxua o |||| 0|eng d | ||
| 020 | _a9781461473206 | ||
| 024 | 7 |
_a10.1007/978-1-4614-7320-6 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQP357.5 _b2019 EB |
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| 245 | 0 | 0 |
_aEncyclopedia of Computational Neuroscience _cedited by Dieter Jaeger, Ranu Jung. |
| 264 | 1 |
_aNew York _bSpringer International Publishing _c2019 |
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| 300 |
_a1 recurso en línea (aproximadamente 3000 páginas) _b 1000 ilustraciones |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 | _aBiomedical and Life Sciences (Springer-11642) | |
| 520 | 3 | _aThe annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. "Computational Neuroscience" emerged to complement experimental neurophysiology. In 2002, the non-profit organization, Organization for Computational Neuroscience (OCNS) was formed. OCNS has now become the first professional society serving the global computational neuroscience community. OCNS as a society lives at the interface where experimental neuroscience meets theoretical, statistical and computer-simulation analyses, with the hope of turning large collections of experimental results into a principled understanding of nervous systems. It also supports the development of new engineering, computational and informatics techniques for data collection, analyses and management. The Encyclopedia of Computational Neuroscience will be consultable by both researchers and graduate level students. It will be a dynamic, living reference, continually updatable and containing linkouts and multimedia content whenever relevant. | |
| 650 | 7 |
_2embne _aNeurociencia computacional _9481390 |
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| 700 | 1 |
_aJaeger, Dieter _eeditor _4http://id.loc.gov/vocabulary/relators/edt _993410 |
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| 700 | 1 |
_aJung, Ranu _eeditor _4http://id.loc.gov/vocabulary/relators/edt _993411 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4614-7320-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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_aSI _cm _dz _feng _ggw _h0 _b12/2019 _ek _zSI |
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