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024 7 $a10.1007/978-3-319-00861-5
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035   $a(EBL)1317098
035   $a(OCoLC)846836780
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035   $a(DE-He213)978-3-319-00861-5
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100   $a20130524d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aComputational Neuroscience $eA First Course /$fby Hanspeter A Mallot
205   $a1st ed. 2013.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2013.
215   $a1 online resource (142 p.)
225 1 $aSpringer Series in Bio-/Neuroinformatics,$x2193-9349 ;$v2
300   $aDescription based upon print version of record.
311   $a3-319-03306-9 
311   $a3-319-00860-9 
320   $aIncludes bibliographical references and index.
327   $aExcitable Membranes and Neural Conduction -- Receptive Fields and the Specificity of Neuronal Firing -- Coding and Representation -- Fourier Analysis for Neuroscientists -- Artificial Neural Networks.
330   $aComputational Neuroscience - A First Course provides an essential introduction to computational neuroscience and  equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
410  0$aSpringer Series in Bio-/Neuroinformatics,$x2193-9349 ;$v2
606   $aComputational intelligence
606   $aNeurosciences
606   $aComputational complexity
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
606   $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022
615  0$aComputational intelligence.
615  0$aNeurosciences.
615  0$aComputational complexity.
615 14$aComputational Intelligence.
615 24$aNeurosciences.
615 24$aComplexity.
676   $a612.80285
700   $aMallot$b Hanspeter A$4aut$4http://id.loc.gov/vocabulary/relators/aut$01371373
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910734091803321
996   $aComputational Neuroscience$93400390
997   $aUNINA