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| 003 | ES-MaUEC | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 160211s2016 si | s |||| 0|eng d | ||
| 020 | _a9789812878809 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aQA303.2 _b.P484 2016 EB |
|
| 100 | 1 |
_aPeterson, James K. _9101074 _0Local |
|
| 245 | 1 | 0 |
_aCalculus for Cognitive Scientists : _bPartial Differential Equation Models _cby James K Peterson |
| 250 | _a1st ed. | ||
| 260 |
_aSingapore _bSpringer _c2016 |
||
| 300 | _a1 recurso en línea (XXXI, 534 p.) 156 il. col. | ||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 1 |
_aCognitive Science and Technology _x2195-3988 |
|
| 520 | _aThis book shows cognitive scientists in training how mathematics, computer�science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant�biophysics.� A detailed discussion of ion movement�through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed�for�an excitable neuron and is solved using MatLab. | ||
| 942 |
_2lcc _cLE |
||
| 988 | _aEBOOK, EBSPRINGER | ||
| 650 | 7 |
_aCálculo _0comprobar BNE19900958888 _2embne _9138362 |
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_aCognitive Science and Technology _x2195-3988 _9134330 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-287-880-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 907 |
_a.b12962417 _b10-10-17 _c21-11-16 |
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_am _a_alco _a_vill _b26-02-17 _cm _dz _ea _feng _gsi _h0 |
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