November 25, 2020

Download Ebook Free Computational Neuroscience In Epilepsy

Computational Neuroscience in Epilepsy

Computational Neuroscience in Epilepsy
Author : Ivan Soltesz,Kevin Staley
Publisher : Academic Press
Release Date : 2011-09-02
Category : Science
Total pages :624
GET BOOK

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). Computational Neuroscience in Epilepsy 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 researchers

Neuronal Substrates of Sleep and Epilepsy

Neuronal Substrates of Sleep and Epilepsy
Author : Mircea Steriade
Publisher : Cambridge University Press
Release Date : 2003-05-08
Category : Medical
Total pages :522
GET BOOK

Different states of vigilance and various paroxysmal disorders that occur during slow-wave sleep can have the same neural bases. Conventional wisdom holds that sleep is a resting state of the brain, with negligible activity of cortical neurons. Here, the author brings new evidence favoring the idea that during this behavioral state memory traces acquired during waking are consolidated. The author focuses on the coalescence of different sleep rhythms in interacting corticothalamic networks and on three types of paroxysmal disorders, namely spike-wave seizures as in absence epilepsy, Lennox-Gastaut seizures, and temporal-lobe epilepsy. Many physiological correlates of waking and sleep states as well as diverse types of epileptic seizures are also discussed. The book has copious illustrations with examples from in vivo, in vitro and 'in computo' studies, the majority coming from the author's own laboratory. Neuronal Substrates of Sleep and Epilepsy is essential reading for neuroscientists and clinical researchers.

From Computer to Brain

From Computer to Brain
Author : William W. Lytton
Publisher : Springer Science & Business Media
Release Date : 2002-10-01
Category : Mathematics
Total pages :364
GET BOOK

Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Computational Neurology and Psychiatry

Computational Neurology and Psychiatry
Author : Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. Cochran
Publisher : Springer
Release Date : 2017-01-25
Category : Computers
Total pages :448
GET BOOK

This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods.

Computational Neuroscience

Computational Neuroscience
Author : James M. Bower
Publisher : Springer Science & Business Media
Release Date : 2013-06-29
Category : Medical
Total pages :961
GET BOOK

This volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.

Epilepsy

Epilepsy
Author : Ivan Osorio,Hitten P. Zaveri,Mark G. Frei,Susan Arthurs
Publisher : CRC Press
Release Date : 2016-04-19
Category : Medical
Total pages :578
GET BOOK

Epilepsy, one of the most prevalent neurological disorders, affects approximately 1% (greater than 60 million) of the world's population. In an estimated 20 million of these patients, seizures are not controlled even by multiple anti-seizure drugs, and are extremely difficult to predict. Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics seamlessly brings together the neurosciences, mathematics, computational sciences, engineering, physics, and clinical epileptology to present to readers a highly didactic, integrated, clear and practically useful knowledge base and research directions. Laying out the foundations of signal analysis, data conditioning, linear and non-linear analysis, introduction to dynamical systems and fundamental anatomical and neurophysiological concepts, this book: Introduces non-physicians to language and concepts necessary to establish a meaningful dialog with epileptologists Introduces physicians to dynamical theory and signal processing without which interdisciplinary collaborations would not be productive Mines knowledge from fields devoted to the investigation of aperiodic paroxysmal relaxation phenomena, such as earthquakes, which bear dynamical similarities with epilepsy, so as to lay the proper scientific foundations for epileptology and foster much needed therapeutic advances efficiently Reviews spatiotemporal behavior of seizures, mechanisms of epileptogenesis and ictogenesis as well as of seizure control and ancillary technology Calls attention to nocturnal frontal lobe epilepsy as a potentially fruitful paradigm for advancing seizure prediction. Of all neurological disorders, epilepsy demands of investigators the broadest and deepest knowledge of dynamical, control, and system theories, knowledge that cannot be amassed without possessing a certain level of sophistication in relevant areas of neurosciences, physics, mathematics, and engineering. Narrowing the inescapable cultural chasm that commonly fragments multidisciplinary efforts, this book captures and enriches the burgeoning interdisciplinary synergism in the nascent field of dynamical epileptology.

Bundle for Epilepsy Researchers

Bundle for Epilepsy Researchers
Author : Ruben Kuzniecky,Asla Pitknen,Ivan Soltesz
Publisher : Academic Press
Release Date : 2008-10-03
Category : Medical
Total pages :129
GET BOOK

Combining three essential Academic Press books, this bundle provides reference information for epilepsy researchers at a great price. Magnetic Resonance in Epilepsy is an in-depth look at the advances in imaging techology as applied to epilepsy research. Models of Seizures and Epilepsy speaks to the needs of both basic neuroscientists and clinical neurologists, in understanding the pathophysiology of seizures and the epilepsies and predicting the clinical effectiveness of antiepileptic treatments. Computational Neuroscience in Epilepsy is the first-ever book solely dedicated to the emerging discipline of computational epilepsy research.

Computational Neuroscience

Computational Neuroscience
Author : Vinícius Rosa Cota,Dante Augusto Couto Barone,Diego Roberto Colombo Dias,Laila Cristina Moreira Damázio
Publisher : Springer Nature
Release Date : 2019-11-28
Category : Computers
Total pages :284
GET BOOK

This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in São João Del-Rei, Brazil, in September 2019. The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction.

Computational Models of Brain and Behavior

Computational Models of Brain and Behavior
Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
Release Date : 2017-11-13
Category : Psychology
Total pages :584
GET BOOK

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Seizure Prediction in Epilepsy

Seizure Prediction in Epilepsy
Author : Björn Schelter,Jens Timmer,Andreas Schulze-Bonhage
Publisher : John Wiley & Sons
Release Date : 2008-11-21
Category : Science
Total pages :369
GET BOOK

Comprising some 30 contributions, experts from around the world present and discuss recent advances related to seizure prediction in epilepsy. The book covers an extraordinarily broad spectrum, starting from modeling epilepsy in single cells or networks of a few cells to precisely-tailored seizure prediction techniques as applied to human data. This unique overview of our current level of knowledge and future perspectives provides theoreticians as well as practitioners, newcomers and experts with an up-to-date survey of developments in this important field of research.

From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience
Author : Michael A. Arbib,James J. Bonaiuto
Publisher : MIT Press
Release Date : 2016-11-04
Category : Science
Total pages :808
GET BOOK

A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille

Computational Neuroscience

Computational Neuroscience
Author : Wanpracha Chaovalitwongse,Panos M. Pardalos,Petros Xanthopoulos
Publisher : Springer Science & Business Media
Release Date : 2010-07-03
Category : Medical
Total pages :396
GET BOOK

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.

Models of Seizures and Epilepsy

Models of Seizures and Epilepsy
Author : Asla Pitkänen,Paul Buckmaster, DVM, PhD,Aristea S Galanopoulou,Solomon L. Moshé
Publisher : Academic Press
Release Date : 2017-06-14
Category : Science
Total pages :1178
GET BOOK

Models of Seizures and Epilepsy, Second Edition, is a valuable, practical reference for investigators who are searching for the most appropriate laboratory models to address key questions in the field. The book also provides an important background for physicians, fellows, and students, offering insight into the potential for advances in epilepsy research as well as R&D drug development. Contents include the current spectrum of models available to model different epilepsy syndromes, epilepsy in transgenic animals, comorbidities in models of epilepsy, and novel technologies to study seizures and epilepsies in animals. Provides a comprehensive reference detailing animal models of epilepsy and seizure Offers insights on the use of novel technologies that can be applied in experimental epilepsy research Edited by leading experts in the field that provide not only technical reviews of these models but also conceptual critiques Comments on the strengths and limitations of various models, including their relationship to clinical phenomenology and their value in developing better understanding and treatments

Oxford Textbook of Epilepsy and Epileptic Seizures

Oxford Textbook of Epilepsy and Epileptic Seizures
Author : Simon Shorvon,Renzo Guerrini,Mark Cook,Samden Lhatoo
Publisher : OUP Oxford
Release Date : 2012-12-20
Category : Medical
Total pages :400
GET BOOK

Epilepsy is the most common serious neurological condition, affecting children and adults, and can occur in a variety of medical settings. It has many causes and many forms, and a variable prognosis. Mortality and morbidity are high, social and legal consequences can stretch well beyond the purely medical, and its management is often poor. Part of the Oxford Textbooks in Clinical Neurology (OTCN) series, this volume covers the scientific basis, clinical diagnosis, and treatment of epilepsy and epileptic seizures. Written by internationally-renowned specialists, each chapter comprehensively covers the current knowledge and evidence base related to each aspect of the disorder, with an emphasis on the personal experience of the authors. The print edition of the Oxford Textbook of Epilepsy and Epileptic Seizures is complemented by an online version, which allows access to the full content of the textbook, contains links from the references to primary research journal articles, enables full text searches, and provides access to figures and tables that can be downloaded to PowerPoint®. This textbook will prove a useful clinical reference for neurologists and senior trainees in neurology, an educational manual for trainees, and will offer practical assistance to all physicians advising people with epilepsy.

Neural Control Engineering

Neural Control Engineering
Author : Steven J. Schiff
Publisher : MIT Press
Release Date : 2012
Category : Medical
Total pages :361
GET BOOK

How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonlinear control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven Schiff seeks to bridge the two fields, examining the application of new methods in nonlinear control engineering to neuroscience. After presenting extensive material on formulating computational neuroscience models in a control environment--including some fundamentals of the algorithms helpful in crossing the divide from intuition to effective application--Schiff examines a range of applications, including brain-machine interfaces and neural stimulation. He reports on research that he and his colleagues have undertaken showing that nonlinear control theory methods can be applied to models of single cells, small neuronal networks, and large-scale networks in disease states of Parkinson's disease and epilepsy. With Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience sufficient not only to understand the literature in this trandisciplinary area but also to begin working to advance the field. The book will serve as an essential guide for scientists in either biology or engineering and for physicians who wish to gain expertise in these areas.