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01999nam a22003734c 4500
000000785334
20151119153414
090929s2010 ne a b 001 0 eng d
▼a 9780123748829
▼a 0123748828
▼a 243002
▼a eng
▼a nlmcopyc
▼a Gabbiani, Fabrizio.
▼a Mathematics for neuroscientists /
▼d Fabrizio Gabbiani ;
▼e Steven J. Cox.
▼a 1st ed.
▼a Amsterdam:
▼b Elsevier/Academic Press,
▼c 2010.
▼a xi, 486 p.:
▼b ill. (some col.);
▼c 28 cm.
▼a Includes bibliographical references (p. 473-482) and index.
▼a Passive 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.
▼a Computational neuroscience.
▼a Computational biology.
▼a Neurosciences.
▼a Computational Biology
▼x methods
▼a Mathematical Concepts
▼a Models, Neurological
▼a Nerve Net
▼a Neurons
▼x physiology
▼a Neurosciences
▼x methods
▼a Synaptic Transmission
▼a Cox, Steven J.
▼q (Steven James),
▼d 1960-,
▼a 단행본
▼a 612.8
▼b G112m
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9780123748829 |
| ISBN : | 0123748828 |
| 개인저자 : | Gabbiani, Fabrizio. |
| 서명/저자사항 : | Mathematics for neuroscientists / Fabrizio Gabbiani ; Steven J. Cox. |
| 판사항 : | 1st ed. |
| 발행사항 : | Amsterdam: Elsevier/Academic Press, 2010. |
| 형태사항 : | xi, 486 p.: ill. (some col.); 28 cm. |
| 서지주기 : | Includes bibliographical references (p. 473-482) and index. |
| 내용주기 : | Passive 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. |
| 일반주제명 : | Computational neuroscience. -- |
| 일반주제명 : | Computational biology. -- |
| 일반주제명 : | Neurosciences. -- |
| 일반주제명 : | Computational Biology -- methods -- |
| 일반주제명 : | Mathematical Concepts -- |
| 일반주제명 : | Models, Neurological -- |
| 일반주제명 : | Nerve Net -- |
| 일반주제명 : | Neurons -- physiology -- |
| 일반주제명 : | Neurosciences -- methods -- |
| 일반주제명 : | Synaptic Transmission -- |
| 개인저자 : | Cox, Steven J. (Steven James), 1960-, |
| 분류기호 : | 612.8 |
| 언어 | 영어 |
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