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008			150903s2013 gw | o |||| 0|eng d
020			_a9783319008615 _99783319008615
024	7		_a10.1007/9783319008615 _2doi
035			_avtls000345791
039		9	_a201509030908 _bVLOAD _c201405050325 _dVLOAD _y201402061344 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ342
100	1		_aMallot, Hanspeter A. _eautor _9324004
245	1	0	_aComputational Neuroscience : _bA First Course / _cby Hanspeter A Mallot.
264		1	_aHeidelberg : _bSpringer International Publishing : _bImprint: Springer, _c2013.
300			_axii, 135 páginas 62 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringer Series in Bio-/Neuroinformatics, _x2193-9349 ; _v2
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783319008608
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-319-00861-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c292324 _d292324