Computational Neuroscience in Epilepsy - download pdf or read online

By Ivan Soltesz, Kevin Staley

ISBN-10: 0123736498

ISBN-13: 9780123736499

Epilepsy is a neurological ailment that is affecting thousands of sufferers around the globe and arises from the concurrent motion of a number of pathophysiological techniques. the ability of mathematical research and computational modeling is more and more used in easy and scientific epilepsy study to raised comprehend the relative significance of the multi-faceted, seizure-related alterations happening within the mind in the course of an epileptic seizure. This groundbreaking ebook is designed to synthesize the present rules and destiny instructions of the rising self-discipline of computational epilepsy learn. Chapters tackle proper simple questions (e.g., neuronal achieve regulate) in addition to long-standing, seriously very important scientific demanding situations (e.g., seizure prediction). The ebook might be of excessive curiosity to a variety of readers, together with undergraduate and graduate scholars, postdoctoral fellows and school operating within the fields of easy or scientific neuroscience, epilepsy learn, computational modeling and bioengineering. * Covers quite a lot of themes from molecular to seizure predictions and mind implants to manage seizures * participants are most sensible specialists on the leading edge of computational epilepsy learn * bankruptcy contents are hugely proper to either easy and scientific epilepsy researchers

Show description

Read or Download Computational Neuroscience in Epilepsy PDF

Similar computational mathematicsematics books

Walter Gautschi's Orthogonal Polynomials: Computation and Approximation PDF

This can be the 1st booklet on positive tools for, and purposes of orthogonal polynomials, and the 1st to be had selection of correct Matlab codes. The ebook starts off with a concise advent to the speculation of polynomials orthogonal at the genuine line (or a component thereof), relative to a good degree of integration.

New PDF release: Numerical Modelling in Geomechanics

Describes theoretically and virtually the revolution within the learn of geomechanics and geomaterials that numerical modelling has made attainable via examples of such components as chemical degradation, rock weathering, particles flows, and circulation slides.

Get Computational Inelasticity PDF

This ebook describes the theoretical foundations of inelasticity, its numerical formula and implementation. The material defined herein constitutes a consultant pattern of state-of-the- artwork method presently utilized in inelastic calculations. one of the a variety of issues coated are small deformation plasticity and viscoplasticity, convex optimization idea, integration algorithms for the constitutive equation of plasticity and viscoplasticity, the variational atmosphere of boundary worth difficulties and discretization by means of finite point tools.

Additional info for Computational Neuroscience in Epilepsy

Example text

The complexity of our simulations with the mass production of thousands or millions of simulations for further study has led us to develop a data-mining resource within the simulator environment. 6 Simulation and experiment produce massive amounts of data to be stored, managed and analyzed. We have been using our data-mining system to analyze data from both electrophysiology and simulation, to organize simulation parameters and to relate parameters to simulation results. The large amounts of data involved makes data-mining an explicit endeavor that lies at the juncture of simulation, experiment and hypothesis generation (Lytton, 2006).

This is much simpler with NEURON because its programming syntax and graphical interface tools have many features that are close counterparts to familiar neuroscience concepts. This reduces the effort required to implement a computational model in the first place and the resulting model specifications are far more compact and easier to understand and maintain. In the following sections, we examine NEURON’s special features that facilitate creating models of individual cells, expanding its library of biophysical mechanisms, incorporating instrumentation effects and building network models.

1990). A quantitative description of NMDA receptor-channel kinetic behavior. J Neurosci 10:1830–1837. W. (2006). Neural query system: data-mining from within the neuron simulator. Neuroinformatics 4:163–176. W. and Hines, M. (2005). Independent variable timestep integration of individual neurons for network simulations. Neural Comput 17:903–921. W. J. (1991). Inhibitory interneurons may help synchronize oscillations in cortical pyramidal neurons. J Neurophysiol 66:1059–1079. W. and Stewart, M.

Download PDF sample

Computational Neuroscience in Epilepsy by Ivan Soltesz, Kevin Staley

by Mark

Rated 4.98 of 5 – based on 25 votes