| 000 | 01637cam a2200253 a 4500 | ||
|---|---|---|---|
| 001 | 1540968 | ||
| 008 | 090929s2010 ne a b 001 0 eng d | ||
| 020 | _a9780123748829 | ||
| 020 | _a0123748828 | ||
| 040 | _aYDXCP | ||
| 041 | 0 | 9 | _aeng |
| 060 |
_aWL 100 _bG 11 _2 |
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| 100 |
_aGabbiani, F. _94494 |
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| 245 | 1 | 0 |
_aMathematics for neuroscientists _cFabrizio Gabbiani, Steven J. Cox. |
| 250 | _a1st ed. | ||
| 260 |
_aAmsterdam : _bElsevier/Academic Press, _c2010. |
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| 300 |
_axi, 486 p. : _bill. (some col.) ; _c28 cm. |
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| 504 | _aIncludes bibliographical references (p. 473-482) and index. | ||
| 505 | 0 | _aPassive isopotential cell -- Differential equations -- Active isopotential cell -- Quasi-active isopotential cell -- Passive cable -- Fourier series and transforms -- Passive dendritic tree -- Active dendritic tree -- Reduced single neuron models -- Probability and random variables -- Synaptic transmission and quantal release -- Neuronal calcium signaling -- Singular value decomposition and applications -- Quantification of spike train variability -- Stochastic processes -- Membrane noise -- Power and cross spectra -- Natural light signals and phototransduction -- Firing rate codes and early vision -- Models of simple and complex cells -- Stochastic estimation theory -- Reverse-correlation and spike train decoding -- Signal detection theory -- Relating neuronal responses and psychophysics -- Population codes -- Neuronal networks -- Solutions to selected exercises. | |
| 650 | 0 |
_aNervous System _9973 |
|
| 700 |
_aCox, SJ. _q(Steven James), _d1960- _94495 |
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| 942 |
_2lcc _cBK |
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| 999 |
_c4066 _d4066 |
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