01003nam0-22003131i-450-99000552598040332120080514091002.00-520-01966-0000552598FED01000552598(Aleph)000552598FED0100055259819990604d1973----km-y0itay50------baitaf-------00---Saint Francisnature mysticthe derivation and significance of the nature stories in the Franciscan legendEdward A. ArmstrongBerkeleyUniversity of California Press1973270 p., 16 tav.24 cmHermeneuticsStudies in the History of Religions2Francesco : d'Assisi <santo>271.3024Armstrong,Edward A.213406ITUNINARICAUNIMARCBK990005525980403321271.3 FRA 2ST.MED.MOD. 6530FLFBCFLFBCSaint Francis610065UNINA03679nam 22007215 450 991073409180332120210827144323.03-319-00861-710.1007/978-3-319-00861-5(CKB)3390000000037160(EBL)1317098(OCoLC)846836780(SSID)ssj0000935376(PQKBManifestationID)11948042(PQKBTitleCode)TC0000935376(PQKBWorkID)10952915(PQKB)10757909(DE-He213)978-3-319-00861-5(MiAaPQ)EBC1317098(MiAaPQ)EBC6314565(Au-PeEL)EBL1317098(CaPaEBR)ebr10983321(PPN)170489906(EXLCZ)99339000000003716020130524d2013 u| 0engur|n|---|||||txtccrComputational Neuroscience A First Course /by Hanspeter A Mallot1st ed. 2013.Cham :Springer International Publishing :Imprint: Springer,2013.1 online resource (142 p.)Springer Series in Bio-/Neuroinformatics,2193-9349 ;2Description based upon print version of record.3-319-03306-9 3-319-00860-9 Includes bibliographical references and index.Excitable Membranes and Neural Conduction -- Receptive Fields and the Specificity of Neuronal Firing -- Coding and Representation -- Fourier Analysis for Neuroscientists -- Artificial Neural Networks.Computational 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.Springer Series in Bio-/Neuroinformatics,2193-9349 ;2Computational intelligenceNeurosciencesComputational complexityComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Neuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Computational intelligence.Neurosciences.Computational complexity.Computational Intelligence.Neurosciences.Complexity.612.80285Mallot Hanspeter Aauthttp://id.loc.gov/vocabulary/relators/aut1371373MiAaPQMiAaPQMiAaPQBOOK9910734091803321Computational Neuroscience3400390UNINA