人脑是人类已知的最复杂的系统之一。神经科学家试图通过对神经元兴奋性和突触传递的详细分析来了解大脑功能。只有在过去几年里，从足够多的神经元中同时捕获反应，以在计算上对人脑功能理论进行经验性测试才变得可行。这本书由最先进的实验和计算技术组成，提供了新的见解，并提高了我们对人脑的理解。
这卷包括来自不同学科的贡献，包括电气工程、生物医学工程、工业工程和医学，弥合了数学科学和神经科学研究之间的重要鸿沟。本书涵盖了广泛的研究主题，展示了数据挖掘、信号处理、优化和尖端医疗技术的各种方法如何用于解决现代神经科学中最具挑战性的问题。
这本书中呈现的结果对科学家、研究生、研究人员和对计算神经科学最新发展感兴趣的医生来说是非常有趣和有价值的。
Computational Neuroscience by Wanpracha Chaovalitwongse
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.
OR
