Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). The book should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. * Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures * Contributors are top experts at the forefront of computational epilepsy research * Chapter contents are highly relevant to both basic and clinical epilepsy researchersChannel hysteresis Hysteresis is a property of a system which shows up as a dependence on the (previous) history of the system. For neurons, hysteresis is common in the sense that, from resting, a cell will display a threshold for spiking whenanbsp;...
|Title||:||Computational Neuroscience in Epilepsy|
|Author||:||Ivan Soltesz, Kevin Staley|
|Publisher||:||Academic Press - 2011-09-02|