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Introduction to computational neurobiology and clustering /
This 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 und...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hackensack, NJ :
World Scientific,
©2007.
|
| Colección: | Series on advances in mathematics for applied sciences ;
v. 73. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Tirozzi, Brunello. | |
| 245 | 1 | 0 | |a Introduction to computational neurobiology and clustering / |c Brunello Tirozzi, Daniela Bianchi, Enrico Ferraro. |
| 260 | |a Singapore ; |a Hackensack, NJ : |b World Scientific, |c ©2007. | ||
| 300 | |a 1 online resource (xii, 229 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Series on advances in mathematics for applied sciences ; |v v. 73 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface; Contents; Neurobiological models; Clustering; Appendices; Bibliography; Subject Index; Author Index. | |
| 520 | |a This 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 res. | ||
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| 650 | 0 | |a Neurobiology |x Mathematical models. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 1 | 2 | |a Computational Biology |
| 650 | 2 | 2 | |a Cluster Analysis |
| 650 | 2 | 2 | |a Computer Simulation |
| 650 | 2 | 2 | |a Neural Networks, Computer |
| 650 | 2 | 2 | |a Neurons |x physiology |
| 650 | 6 | |a Neurobiologie |x Modèles mathématiques. | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Simulation par ordinateur. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 7 | |a simulation. |2 aat | |
| 650 | 7 | |a MEDICAL |x Neuroscience. |2 bisacsh | |
| 650 | 7 | |a PSYCHOLOGY |x Neuropsychology. |2 bisacsh | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 700 | 1 | |a Bianchi, Daniela, |d 1975- | |
| 700 | 1 | |a Ferraro, Enrico, |d 1969- | |
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| 830 | 0 | |a Series on advances in mathematics for applied sciences ; |v v. 73. | |
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