名称: | |
描述: | |
公开/私有: | 公开 私有 |
Mathematics for neuroscientists =: 神经科学中的数学 / |
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ISBN/ISSN:
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9787030331144 (hbk.) |
语种:
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eng |
中图分类法
:
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Q189 |
著者:
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Gabbiani, Fabrizio. |
题名:
|
Mathematics for neuroscientists = [神经科学中的数学 ] |
其它题名:
|
神经科学中的数学 |
出版发行:
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北京 : 科学出版社, 2012. |
载体形态:
|
xi, 486 p. : ill. ; 27 cm. |
附注:
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"导读版"--Cover. |
主题词:
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Computational Biology methods. |
主题词:
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Models, Neurological. |
主题词:
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Nerve Net. |
主题词:
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Neurons physiology. |
主题词:
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Neurosciences methods. |
主题词:
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Synaptic Transmission. |
主题词:
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Computational neuroscience. |
主题词:
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Computational biology. |
主题词:
|
Neurosciences. |
主要责任者:
|
Cox, Steven J. 1960- (Steven James), |
标签:
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相关主题:
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相关资源:
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分享资源:
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HEA| |02230cam a2200397 a 4500 001| |022012002564 003| |CAL 005| |20121210091203.1 008| |121210r20122010cc a b 001 0 eng d 020| |▼a9787030331144 (hbk.) 040| |▼aNMU▼cNMU▼dSCT 041|0 |▼aeng▼bchi▼fchi 093| |▼aQ189▼24 099| |▼aCAL 022012055704 100|1 |▼aGabbiani, Fabrizio. 245|10|▼aMathematics for neuroscienti- | |sts =▼b神经科学中的数学 /▼cFabrizio Ga- | |bbiani and Steven James Cox. 246|31|▼a神经科学中的数学 260| |▼a北京 :▼b科学出版社,▼c2012. 300| |▼axi, 486 p. :▼bill. ;▼c27 cm. 490|0 |▼a神经科学研究与进展 490|0 |▼aKeai communications =▼a科爱传播 500| |▼a"导读版"--Cover. 504| |▼aIncludes bibliographical ref- | |erences (p. 473-482) and index. 505|0 |▼aPassive isopotential cell --- | | Differential equations -- Act- | |ive isopotential cell -- Quasi- | |-active isopotential cell -- P- | |assive cable -- Fourier series- | | and transforms -- Passive den- | |dritic tree -- Active dendriti- | |c tree -- Reduced single neuro- | |n models -- Probability and ra- | |ndom variables -- Synaptic tra- | |nsmission and quantal release - | |-- Neuronal calcium signaling - | |-- Singular value decompositio- | |n and applications -- Quantifi- | |cation of spike train variabil- | |ity -- Stochastic processes --- | | Membrane noise -- Power and c- | |ross spectra -- Natural light - | |signals and phototransduction - | |-- Firing rate codes and early- | | vision -- Models of simple an- | |d complex cells -- Stochastic - | |estimation theory -- Reverse-c- | |orrelation and spike train dec- | |oding -- Signal detection theo- | |ry -- Relating neuronal respon- | |ses and psychophysics -- Popul- | |ation codes -- Neuronal networ- | |ks -- Solutions to selected exercises. 534| |▼pReprint. Originally publishe- | |d:▼cAmsterdam ; Boston : Elsev- | |ier Academic Press, c2010.▼z97- | |80123748829. 650|12|▼aComputational Biology▼xmethods. 650|22|▼aModels, Neurological. 650|22|▼aNerve Net. 650|22|▼aNeurons▼xphysiology. 650|22|▼aNeurosciences▼xmethods. 650|22|▼aSynaptic Transmission. 650| 0|▼aComputational neuroscience. 650| 0|▼aComputational biology. 650| 0|▼aNeurosciences. 700|1 |▼aCox, Steven J.▼q(Steven James),▼d1960- 998| |▼aNMU