02826nam 2200649Ia 450 991045068250332120200520144314.01-281-12147-99786611121471981-277-127-1(CKB)1000000000334150(EBL)312390(OCoLC)476100139(SSID)ssj0000182461(PQKBManifestationID)11938995(PQKBTitleCode)TC0000182461(PQKBWorkID)10173024(PQKB)11461091(MiAaPQ)EBC312390(WSP)00006368(Au-PeEL)EBL312390(CaPaEBR)ebr10188829(CaONFJC)MIL112147(OCoLC)935264078(EXLCZ)99100000000033415020070216d2007 uy 0engur|n|---|||||txtccrIntroduction to computational neurobiology and clustering[electronic resource] /Brunello Tirozzi, Daniela Bianchi, Enrico FerraroHackensack, NJ World Scientificc20071 online resource (242 p.)Series on advances in mathematics for applied sciences ;v. 73Description based upon print version of record.981-270-539-2 Includes bibliographical references (p. 219-223) and indexes.Preface; Contents; Neurobiological models; Clustering; Appendices; Bibliography; Subject Index; Author IndexThis volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology. New resSeries on advances in mathematics for applied sciences ;v. 73.NeurobiologyMathematical modelsNeurosciencesMathematical modelsElectronic books.NeurobiologyMathematical models.NeurosciencesMathematical models.612.8Tirozzi Brunello552792Bianchi Daniela1975-863434Ferraro Enrico1969-863435MiAaPQMiAaPQMiAaPQBOOK9910450682503321Introduction to computational neurobiology and clustering1927287UNINA