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Biomedical Sciences - Neuroscience | Computational Neuroscience

Computational Neuroscience

Chaovalitwongse, Wanpracha, Pardalos, Panos M., Xanthopoulos, Petros (Eds.)

2010, XVI, 396p.

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  • Presents major results and latest trends in the field of computational neuroscience
  • Provides a collection of selected contributions giving a state-of-the-art account of recent developments in the field
  • Includes chapters written by experts in their respective disciplines

The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain.

 

This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.

 

The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience.

Content Level » Professional/practitioner

Keywords » Master Patient Index - biomedical engineering - computational neuroscience - data mining - human brain function - human neurophysiological systems - modern neuroscience problems - neuronal excitability - synaptic transmission

Related subjects » Biomedical Engineering - Computational Science & Engineering - Mathematics - Neuroscience - Public Health

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