000 | 02832nam a22004935i 4500 | ||
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001 | 978-3-319-00861-5 | ||
003 | DE-He213 | ||
005 | 20200420220227.0 | ||
007 | cr nn 008mamaa | ||
008 | 130524s2013 gw | s |||| 0|eng d | ||
020 |
_a9783319008615 _9978-3-319-00861-5 |
||
024 | 7 |
_a10.1007/978-3-319-00861-5 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aMallot, Hanspeter A. _eauthor. |
|
245 | 1 | 0 |
_aComputational Neuroscience _h[electronic resource] : _bA First Course / _cby Hanspeter A Mallot. |
264 | 1 |
_aHeidelberg : _bSpringer International Publishing : _bImprint: Springer, _c2013. |
|
300 |
_aXI, 135 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Series in Bio-/Neuroinformatics, _x2193-9349 ; _v2 |
|
505 | 0 | _aExcitable Membranes and Neural Conduction -- Receptive Fields and the Specificity of Neuronal Firing -- Coding and Representation -- Fourier Analysis for Neuroscientists -- Artificial Neural Networks. | |
520 | _aComputational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aNeurosciences. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aComplexity, Computational. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aNeurosciences. |
650 | 2 | 4 | _aComplexity. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319008608 |
830 | 0 |
_aSpringer Series in Bio-/Neuroinformatics, _x2193-9349 ; _v2 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-00861-5 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52276 _d52276 |