Computational neurosciences and systems biology are among the main
domains of life science research where mathematical modeling made a
difference. This book introduces the many different types of
computational studies one can develop to study neuronal systems. It
is aimed at undergraduate students starting their research in
computational neurobiology or more senior researchers who would
like, or need, to move towards computational approaches. Based on
their specific project, the readers would then move to one of the
more specialized excellent textbooks available in the field. The
first part of the book deals with molecular systems biology.
Functional genomics is introduced through examples of
transcriptomics and proteomics studies of neurobiological interest.
Quantitative modelling of biochemical systems is presented in
homogeneous compartments and using spatial descriptions. A second
part deals with the various approaches to model single neuron
physiology, and naturally moves to neuronal networks. A division is
focused on the development of neurons and neuronal systems and the
book closes on a series of methodological chapters. From the
molecules to the organ, thinking at the level of systems is
transforming biology and its impact on society. This book will help
the reader to hop on the train directly in the tank engine.
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