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Provides students with tools to understand the fields of neurobiological modeling, cluster analysis of proteins and genes. This book contains results for researchers such as description and applications of Kohonen neural networks to gene classification and protein classification with back propagation neutral networks.

Increasingly, neural networks are used and implemented in a wide range of fields and have become useful tools in probabilistic analysis and prediction theory. This book--unique in the literature--studies the application of neural networks to the analysis of time series of sea data, namely significant wave heights and sea levels. The particular problem examined as a starting point is the reconstruction of missing data, a general problem that appears in many cases of data analysis.

Specific topics covered include:

* Presentation of general information on the...

Ultrametricity is a very general and abstract concept of mathematic but accurate data analysis and study of sequence of data has revealed that it represents collection of information grouped in categories. This is also the way the information are grouped and collected by humans. In this book we try to show that such structured information can be retrieved and stored in the hippocampus finding in this way the neurobiological background for such cognitive processes. In the book both the mathematical framework and the simulation of the neuronal processes are explained for people not expert of...