000 | 08131cam a2201093 a 4500 | ||
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001 | ocn668196264 | ||
003 | OCoLC | ||
005 | 20220713050559.0 | ||
006 | m o d | ||
007 | cr cn||||||||| | ||
008 | 101005s2010 ne a ob 001 0 eng d | ||
040 |
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_a9780128019061 _q(electronic bk.) |
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020 | _z9780123748829 | ||
020 | _z0123748828 | ||
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_a(OCoLC)668196264 _z(OCoLC)664234213 _z(OCoLC)670041022 _z(OCoLC)676817748 _z(OCoLC)694874804 _z(OCoLC)962188716 _z(OCoLC)969022276 _z(OCoLC)972012392 _z(OCoLC)972092407 _z(OCoLC)992056998 _z(OCoLC)1037915013 _z(OCoLC)1038676039 _z(OCoLC)1055384397 _z(OCoLC)1058585793 _z(OCoLC)1066643583 _z(OCoLC)1097161974 _z(OCoLC)1153470067 |
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037 |
_a167007:167242 _bElsevier Science & Technology _nhttp://www.sciencedirect.com |
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050 | 4 |
_aQP356 _b.G22 2010 |
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060 | 4 | _a2010 J-281 | |
060 | 4 | _aQU 26.5 | |
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_aPSY _x020000 _2bisacsh |
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082 | 0 | 4 |
_a612.8 _222 |
049 | _aMAIN | ||
100 | 1 |
_aGabbiani, Fabrizio. _9248965 |
|
245 | 1 | 0 |
_aMathematics for neuroscientists / _cFabrizio Gabbiani, Steven J. Cox. |
250 | _a1st ed. | ||
260 |
_aAmsterdam ; _aBoston : _bElsevier Academic Press, _c2010. |
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300 |
_a1 online resource (xi, 486 pages) : _billustrations (some color) |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 | _atext file | ||
490 | 1 | _aElsevier science & technology books | |
520 | _aThis book provides a grounded introduction to the fundamental concepts of mathematics, neuroscience and their combined use, thus providing the reader with a springboard to cutting-edge research topics and fostering a tighter integration of mathematics and neuroscience for future generations of students. The book alternates between mathematical chapters, introducing important concepts and numerical methods, and neurobiological chapters, applying these concepts and methods to specific topics. It covers topics ranging from classical cellular biophysics and proceeding up to systems level neuroscience. Starting at an introductory mathematical level, presuming no more than calculus through elementary differential equations, the level will build up as increasingly complex techniques are introduced and combined with earlier ones. Each chapter includes a comprehensive series of exercises with solutions, taken from the set developed by the authors in their course lectures. MATLAB code is included for each computational figure, to allow the reader to reproduce them. Biographical notes referring the reader to more specialized literature and additional mathematical material that may be needed either to deepen the reader's understanding or to introduce basic concepts for less mathematically inclined readers completes each chapter. A very didactic and systematic introduction to mathematical concepts of importance for the analysis of data and the formulation of concepts based on experimental data in neuroscience Provides introductions to linear algebra, ordinary and partial differential equations, Fourier transforms, probabilities and stochastic processes Introduces numerical methods used to implement algorithms related to each mathematical concept Illustrates numerical methods by applying them to specific topics in neuroscience, including Hodgkin-Huxley equations, probabilities to describe stochastic release, stochastic processes to describe noise in neurons, Fourier transforms to describe the receptive fields of visual neurons Provides implementation examples in MATLAB code, also included for download on the accompanying support website (which will be updated with additional code and in line with major MATLAB releases) Allows the mathematical novice to analyze their results in more sophisticated ways, and consider them in a broader theoretical framework. | ||
504 | _aIncludes bibliographical references (pages 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. | |
588 | 0 | _aPrint version record. | |
590 |
_aeBooks on EBSCOhost _bEBSCO eBook Subscription Academic Collection - Worldwide |
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650 | 0 |
_aComputational neuroscience. _9235746 |
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650 | 0 |
_aComputational biology. _9152481 |
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650 | 0 |
_aNeurosciences. _92788 |
|
650 | 0 |
_aNeural circuitry. _9145982 |
|
650 | 0 |
_aNeural transmission. _9176563 |
|
650 | 1 | 2 |
_aComputational Biology _xmethods _9926974 |
650 | 2 | 2 |
_aMathematical Concepts _91011411 |
650 | 2 | 2 |
_aModels, Neurological _9699392 |
650 | 2 | 2 |
_aNerve Net _9437585 |
650 | 2 | 2 |
_aNeurons _xphysiology _9315827 |
650 | 2 | 2 |
_aNeurosciences _xmethods _9924091 |
650 | 2 | 2 |
_aSynaptic Transmission _9903876 |
650 | 2 |
_aComputational Biology _9152481 |
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650 | 2 |
_aNeurosciences _92788 |
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650 | 6 |
_aNeurosciences informatiques. _9913933 |
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650 | 6 |
_aBio-informatique. _9888926 |
|
650 | 6 |
_aNeurosciences. _92788 |
|
650 | 6 |
_aRéseaux nerveux. _9894511 |
|
650 | 6 |
_aTransmission nerveuse. _9903879 |
|
650 | 7 |
_aMEDICAL _xNeuroscience. _2bisacsh _9865238 |
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650 | 7 |
_aPSYCHOLOGY _xNeuropsychology. _2bisacsh _9865239 |
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650 | 7 |
_aComputational biology. _2fast _0(OCoLC)fst00871990 _9152481 |
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650 | 7 |
_aComputational neuroscience. _2fast _0(OCoLC)fst00872004 _9235746 |
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650 | 7 |
_aNeurosciences. _2fast _0(OCoLC)fst01036509 _92788 |
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650 | 7 |
_aNeurosciences _xInformatique. _2ram _91358441 |
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650 | 7 |
_aNeurosciences _xModèles mathématiques. _2ram _91489641 |
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655 | 4 | _aElectronic books. | |
700 | 1 |
_aCox, Steven J. _q(Steven James), _d1960- _91489642 |
|
776 | 0 | 8 |
_iPrint version: _aGabbiani, Fabrizio. _tMathematics for neuroscientists. _b1st ed. _dAmsterdam ; Boston : Elsevier Academic Press, 2010 _z9780123748829 _w(OCoLC)441761565 |
830 | 0 |
_aElsevier science & technology books. _9331189 |
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856 | 4 | 0 | _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=342483 |
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