Computational Neuroscience In Epilepsy

Computational Neuroscience In Epilepsy Book PDF
✏Book Title : Computational Neuroscience in Epilepsy
✏Author : Ivan Soltesz
✏Publisher : Academic Press
✏Release Date : 2011-09-02
✏Pages : 624
✏ISBN : 0080559530
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience in Epilepsy Book Summary : 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

📒From Computer To Brain ✍ William W. Lytton

From Computer To Brain Book PDF
✏Book Title : From Computer to Brain
✏Author : William W. Lytton
✏Publisher : Springer Science & Business Media
✏Release Date : 2002-10-01
✏Pages : 364
✏ISBN : 0387955267
✏Available Language : English, Spanish, And French

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✏From Computer to Brain Book Summary : 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.

Neuronal Substrates Of Sleep And Epilepsy Book PDF
✏Book Title : Neuronal Substrates of Sleep and Epilepsy
✏Author : Mircea Steriade
✏Publisher : Cambridge University Press
✏Release Date : 2003-05-08
✏Pages : 522
✏ISBN : 0521817072
✏Available Language : English, Spanish, And French

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✏Neuronal Substrates of Sleep and Epilepsy Book Summary : 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.

Computational Neurology And Psychiatry Book PDF
✏Book Title : Computational Neurology and Psychiatry
✏Author : PĂ©ter Érdi
✏Publisher : Springer
✏Release Date : 2017-01-25
✏Pages : 448
✏ISBN : 9783319499598
✏Available Language : English, Spanish, And French

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✏Computational Neurology and Psychiatry Book Summary : 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 ✍ James M. Bower

Computational Neuroscience Book PDF
✏Book Title : Computational Neuroscience
✏Author : James M. Bower
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-06-29
✏Pages : 961
✏ISBN : 9781475798005
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Book Summary : 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.

📒Computational Neuroscience ✍ Vinícius Rosa Cota

Computational Neuroscience Book PDF
✏Book Title : Computational Neuroscience
✏Author : Vinícius Rosa Cota
✏Publisher : Springer Nature
✏Release Date : 2019-11-28
✏Pages : 284
✏ISBN : 9783030366360
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Book Summary : 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.

Bundle For Epilepsy Researchers Book PDF
✏Book Title : Bundle for Epilepsy Researchers
✏Author : Ruben Kuzniecky
✏Publisher : Academic Press
✏Release Date : 2008-10-03
✏Pages :
✏ISBN : 0123748690
✏Available Language : English, Spanish, And French

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✏Bundle for Epilepsy Researchers Book Summary : 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.

📒Epilepsy ✍ Ivan Osorio

Epilepsy Book PDF
✏Book Title : Epilepsy
✏Author : Ivan Osorio
✏Publisher : CRC Press
✏Release Date : 2016-04-19
✏Pages : 578
✏ISBN : 1439838860
✏Available Language : English, Spanish, And French

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✏Epilepsy Book Summary : 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.

From Neuron To Cognition Via Computational Neuroscience Book PDF
✏Book Title : From Neuron to Cognition via Computational Neuroscience
✏Author : Michael A. Arbib
✏Publisher : MIT Press
✏Release Date : 2016-11-04
✏Pages : 808
✏ISBN : 9780262335270
✏Available Language : English, Spanish, And French

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✏From Neuron to Cognition via Computational Neuroscience Book Summary : 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 ✍ Wanpracha Chaovalitwongse

Computational Neuroscience Book PDF
✏Book Title : Computational Neuroscience
✏Author : Wanpracha Chaovalitwongse
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-07-03
✏Pages : 396
✏ISBN : 0387886303
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Book Summary : 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.

Oxford Textbook Of Epilepsy And Epileptic Seizures Book PDF
✏Book Title : Oxford Textbook of Epilepsy and Epileptic Seizures
✏Author : Simon Shorvon
✏Publisher : OUP Oxford
✏Release Date : 2012-12-20
✏Pages : 400
✏ISBN : 9780191640964
✏Available Language : English, Spanish, And French

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✏Oxford Textbook of Epilepsy and Epileptic Seizures Book Summary : 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 PowerPoint¼. 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.

📒Seizure Prediction In Epilepsy ✍ Björn Schelter

Seizure Prediction In Epilepsy Book PDF
✏Book Title : Seizure Prediction in Epilepsy
✏Author : Björn Schelter
✏Publisher : John Wiley & Sons
✏Release Date : 2008-11-21
✏Pages : 369
✏ISBN : 9783527625208
✏Available Language : English, Spanish, And French

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✏Seizure Prediction in Epilepsy Book Summary : 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.

Computational Models Of Brain And Behavior Book PDF
✏Book Title : Computational Models of Brain and Behavior
✏Author : Ahmed A. Moustafa
✏Publisher : John Wiley & Sons
✏Release Date : 2017-11-13
✏Pages : 584
✏ISBN : 9781119159063
✏Available Language : English, Spanish, And French

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✏Computational Models of Brain and Behavior Book Summary : 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.

Epilepsy An Issue Of Neurosurgery Clinics E Book Book PDF
✏Book Title : Epilepsy An Issue of Neurosurgery Clinics E Book
✏Author : Edward F. Chang
✏Publisher : Elsevier Health Sciences
✏Release Date : 2011-10-18
✏Pages : 139
✏ISBN : 9781455712144
✏Available Language : English, Spanish, And French

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✏Epilepsy An Issue of Neurosurgery Clinics E Book Book Summary : In this issue of Neurosurgery Clinics, Drs. Chang and Barbaro provide a thorough look at epilepsy, with sections focusing on devices in epilepsy surgery, open loop systems, closed loop systems, and non-stimulation. Topics in this issue include history and overview of stimulation for epilepsy, trigeminal nerve stimulation, anterior thalamus DBS, hippocampal stimulation, neuropace RNS, seizure detection/prediction algorithms, cooling, seizure prediction and its applications, stimulation paradigms, and experimental stimulation.

📒Behavioral Aspects Of Epilepsy ✍ Gregory L. Holmes, MD

Behavioral Aspects Of Epilepsy Book PDF
✏Book Title : Behavioral Aspects of Epilepsy
✏Author : Gregory L. Holmes, MD
✏Publisher : Demos Medical Publishing
✏Release Date : 2007-10-15
✏Pages : 264
✏ISBN : 1934559881
✏Available Language : English, Spanish, And French

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✏Behavioral Aspects of Epilepsy Book Summary : The field of epilepsy and behavior has grown considerably in the past number of years, reflecting advances in the laboratory and clinic. Behavioral Aspects of Epilepsy: Principles and Practice is the definitive text on epilepsy behavioral issues, from basic science to clinical applications, for all neurologists, psychosocial specialists, and researchers in the fields of epilepsy, neuroscience, and psychology/psychiatry. Behavioral aspects of epilepsy include a patient's experiences during seizures, his or her reaction during and between seizures, the frequency of episodes and what can be determined from the number of seizures. With contributions by dozens of leading international experts, this is the only book to cover all aspects of this critical emerging science. Adult and pediatric patients, animal models, and epilepsy surgery and its effects are all covered in detail. Behavioral Aspects of Epilepsy is the only source for up-to-date information on a topic that has significant and growing interest in the medical community. This comprehensive, authoritative text has a bench to bedside, approach that covers: The mechanisms underlying epilepsy and behavior Neurophysiologic function Neuropsychiatric and behavioral disorders in patients with epilepsy The effects of treatments and surgery on behavior Pediatric and adolescent epilepsy Disorders associated with epilepsy that impact behavior And much more

Computational Neuroscience Book PDF
✏Book Title : Computational Neuroscience
✏Author :
✏Publisher :
✏Release Date : 1998
✏Pages :
✏ISBN : STANFORD:36105022143155
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Book Summary :

Biophysically Based Computational Models Of Astrocyte Neuron Coupling And Their Functional Significance Book PDF
✏Book Title : Biophysically based Computational Models of Astrocyte Neuron Coupling and their Functional Significance
✏Author : John Wade
✏Publisher : Frontiers E-books
✏Release Date : 2014-03-21
✏Pages :
✏ISBN : 9782889191789
✏Available Language : English, Spanish, And French

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✏Biophysically based Computational Models of Astrocyte Neuron Coupling and their Functional Significance Book Summary : Neuroscientists are increasingly becoming more interested in modelling brain functions where capturing the biophysical mechanisms underpinning these functions requires plausible models at the level of neuron cells. However, cell level models are still very much in the embryo stage and therefore there is a need to advance the level of biological realism at the level of neurons/synapses. Recent publications have highlighted that astrocytes continually exchange information with multiple synapses; if we are to fully appreciate this dynamic and coordinated interplay between these cells then more research on bidirectional signalling between astrocytes and neurons is required. A better understanding of astrocyte-neuron cell coupling would provide the building block for studying the regulatory capability of astrocytes networks on a large scale. For example, it is believed that local and global signalling via astrocytes underpins brain functions like synchrony, learning, memory and self repair. This Research Topic aims to report on current research work which focuses on understanding and modelling the interaction between astrocytes and neurons at the cellular level (Bottom up) and at network level (Top down). Understanding astrocytic regulation of neural activity is crucial if we are to capture how information is represented and processed across large neuronal ensembles in humans.

📒Computational Neuroscience ✍ Jianfeng Feng

Computational Neuroscience Book PDF
✏Book Title : Computational Neuroscience
✏Author : Jianfeng Feng
✏Publisher : CRC Press
✏Release Date : 2003-10-20
✏Pages : 656
✏ISBN : 9781135440466
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Book Summary : How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.

Computational Neuroscience Trends In Research 1999 Book PDF
✏Book Title : Computational Neuroscience Trends in Research 1999
✏Author : J.M. Bower
✏Publisher : Elsevier
✏Release Date : 1999-07-22
✏Pages : 1090
✏ISBN : 0444503072
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Trends in Research 1999 Book Summary : This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletree Inn in Santa Barbara, California. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches, and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.

Multiscale Models Of Brain Disorders Book PDF
✏Book Title : Multiscale Models of Brain Disorders
✏Author : Vassilis Cutsuridis
✏Publisher : Springer Nature
✏Release Date : 2019-10-11
✏Pages : 222
✏ISBN : 9783030188306
✏Available Language : English, Spanish, And French

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✏Multiscale Models of Brain Disorders Book Summary : This book focuses on our current understanding of brain dynamics in various brain disorders (e.g. epilepsy, Alzheimer’s and Parkinson’s disease) and how the multi-scale, multi-level tools of computational neuroscience can enhance this understanding. In recent years, there have been significant advances in the study of the dynamics of the disordered brain at both the microscopic and the macroscopic levels. This understanding can be furthered by the application of multi-scale computational models as integrative principles that may link single neuron dynamics and the dynamics of local and distant brain regions observed using human EEG, ERPs, MEG, LFPs and fMRI. Focusing on the computational models that are used to study movement, memory and cognitive disorders as well as epilepsy and consciousness related diseases, the book brings together physiologists and anatomists investigating cortical circuits; cognitive neuroscientists studying brain dynamics and behavior by means of EEG and functional magnetic resonance imaging (fMRI); and computational neuroscientists using neural modeling techniques to explore local and large-scale disordered brain dynamics. Covering topics that have a significant impact on the field of medicine, neuroscience and computer science, the book appeals to a diverse group of investigators.

📒Biocomputing ✍ Panos M. Pardalos

Biocomputing Book PDF
✏Book Title : Biocomputing
✏Author : Panos M. Pardalos
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-12-01
✏Pages : 264
✏ISBN : 9781461302599
✏Available Language : English, Spanish, And French

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✏Biocomputing Book Summary : In the quest to understand and model the healthy or sick human body, re searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C.

Statistical Analysis Of Multi Cell Recordings Linking Population Coding Models To Experimental Data Book PDF
✏Book Title : Statistical analysis of multi cell recordings linking population coding models to experimental data
✏Author : Matthias Bethge
✏Publisher : Frontiers E-books
✏Release Date : 2012-01-01
✏Pages :
✏ISBN : 9782889190126
✏Available Language : English, Spanish, And French

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✏Statistical analysis of multi cell recordings linking population coding models to experimental data Book Summary : Modern recording techniques such as multi-electrode arrays and 2-photon imaging are capable of simultaneously monitoring the activity of large neuronal ensembles at single cell resolution. This makes it possible to study the dynamics of neural populations of considerable size, and to gain insights into their computations and functional organization. The key challenge with multi-electrode recordings is their high-dimensional nature. Understanding this kind of data requires powerful statistical techniques for capturing the structure of the neural population responses and their relation with external stimuli or behavioral observations. Contributions to this Research Topic should advance statistical modeling of neural populations. Questions of particular interest include: 1. What classes of statistical methods are most useful for modeling population activity? 2. What are the main limitations of current approaches, and what can be done to overcome them? 3. How can statistical methods be used to empirically test existing models of (probabilistic) population coding? 4. What role can statistical methods play in formulating novel hypotheses about the principles of information processing in neural populations? This Research Topic is connected to a one day workshop at the Computational Neuroscience Meeting 2009 in Berlin (http://www.cnsorg.org/2009/workshops.shtml and http://www.kyb.tuebingen.mpg.de/bethge/workshops/cns2009/)

Computational Intelligence In Medical Informatics Book PDF
✏Book Title : Computational Intelligence in Medical Informatics
✏Author : Arpad Kelemen
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-01-03
✏Pages : 379
✏ISBN : 9783540757665
✏Available Language : English, Spanish, And French

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✏Computational Intelligence in Medical Informatics Book Summary : Medical Informatics (MI) is an emerging interdisciplinary science. This book deals with the application of computational intelligence in MI. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters selected on the basis of fundamental ideas/concepts including an introductory chapter giving the fundamental definitions and some important research challenges.

Event Related Potentials In Patients With Epilepsy From Current State To Future Prospects Book PDF
✏Book Title : Event related Potentials in Patients with Epilepsy from Current State to Future Prospects
✏Author : Yushi Inoue
✏Publisher : John Libbey Eurotext
✏Release Date : 2008-01-01
✏Pages : 292
✏ISBN : 9782742010028
✏Available Language : English, Spanish, And French

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✏Event related Potentials in Patients with Epilepsy from Current State to Future Prospects Book Summary : Event-related Potentials (ERPs) have been studied for more than 40 years as a window into higher cortical function. Although ERPs have long been investigated in the field of epilepsy, their complete analysis has had to await the development of powerful computer technology. As this technology comes online, increasing the clinical application of ERPS to epilepsy can be expected. Eventually, ERPs may contribute to brain computer interfaces through the marriage of computer technology and nanotechnology. This book covers all aspects of ERPs related to epilepsy, including ERPs in the evaluation of epileptic pathophysiology, higher cortical functions, functional deficits, other neuroimaging techniques, epilepsy surgery, antiepileptic drugs, and developmental aspects in children.

📒Neural Control Engineering ✍ Steven J. Schiff

Neural Control Engineering Book PDF
✏Book Title : Neural Control Engineering
✏Author : Steven J. Schiff
✏Publisher : MIT Press
✏Release Date : 2012
✏Pages : 361
✏ISBN : 9780262015370
✏Available Language : English, Spanish, And French

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✏Neural Control Engineering Book Summary : 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.

📒Modeling Phase Transitions In The Brain ✍ D. Alistair Steyn-Ross

Modeling Phase Transitions In The Brain Book PDF
✏Book Title : Modeling Phase Transitions in the Brain
✏Author : D. Alistair Steyn-Ross
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-03-14
✏Pages : 306
✏ISBN : 1441907963
✏Available Language : English, Spanish, And French

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✏Modeling Phase Transitions in the Brain Book Summary : Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic agents demonstrates that the cerebral cortex can operate in two very different behavioral modes: alert and responsive vs. unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. Modeling Phase Transitions in the Brain contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band Hopf oscillations, gap-junction-moderated Turing structures, and Hopf-Turing interactions leading to cortical waves.

Epilepsy As A Dynamic Disease Book PDF
✏Book Title : Epilepsy as a Dynamic Disease
✏Author : John Milton
✏Publisher : Springer Science & Business Media
✏Release Date : 2003
✏Pages : 417
✏ISBN : 3540427627
✏Available Language : English, Spanish, And French

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✏Epilepsy as a Dynamic Disease Book Summary : A "brain defibrillator" may be closer than we think. An epileptic seizure involves a paroxysmal change in the activity of millions of neurons. Feedback control of seizures would require an implantable device that could predict seizure occurrence and then deliver a stimulus to abort it. To examine the feasibility of building such a device, this text brings together experts in epilepsy, bio-engineering, and dynamical systems theory. Topics include the development of epileptic systems, seizure prediction, neural synchronization, wave phenomena in excitable media, and the control of complex neural dynamics using brief electrical stimuli.

Advances In Cognitive Neurodynamics Book PDF
✏Book Title : Advances in Cognitive Neurodynamics
✏Author : Rubin Wang
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-09-15
✏Pages : 1070
✏ISBN : 9781402083877
✏Available Language : English, Spanish, And French

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✏Advances in Cognitive Neurodynamics Book Summary : Fifty years ago, enthused by successes in creating digital computers and the DNA model of heredity, scientists were con?dent that solutions to the problems of und- standing biological intelligence and creating machine intelligence were within their grasp. Progress at ?rst seemed rapid. Giant ‘brains’ that ?lled air-conditioned rooms were shrunk into briefcases. The speed of computation doubled every two years. What these advances revealed is not the solutions but the dif?culties of the pr- lems. We are like the geographers who ‘discovered’ America, not as a collection of islands but as continents seen only at shores and demanding exploration. We are astounded less by the magnitude of our discoveries about how brains cogitate than by the enormity of the tasks we have undertaken, to explain and replicate the higher functions of brains. Five decades of brain research have led to the emergence of a new ?eld, which spans the entire range of brain cognition from quantum ?elds to social interactions, and which is combined by the conceptions of nonlinear neurodynamics operating simultaneously at and across all levels. A new breed of scientists has emerged, schooled in multiple academic disciplines, comfortable in working with data from different levels, and conversant with the mathematical tools that are essential to cross boundaries.

Nonlinear Analysis In Neuroscience And Behavioral Research Book PDF
✏Book Title : Nonlinear Analysis in Neuroscience and Behavioral Research
✏Author : Tobias A. Mattei
✏Publisher : Frontiers Media SA
✏Release Date : 2016-10-31
✏Pages :
✏ISBN : 9782889199969
✏Available Language : English, Spanish, And French

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✏Nonlinear Analysis in Neuroscience and Behavioral Research Book Summary : Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as most physical systems are inherently nonlinear in nature), the recent successful application of nonlinear methods to modeling and predicting several evolutionary, ecological, physiological, and biochemical processes has generated great interest and enthusiasm among researchers in computational neuroscience and cognitive psychology. Additionally, in the last years it has been demonstrated that nonlinear analysis can be successfully used to model not only basic cellular and molecular data but also complex cognitive processes and behavioral interactions. The theoretical features of nonlinear systems (such unstable periodic orbits, period-doubling bifurcations and phase space dynamics) have already been successfully applied by several research groups to analyze the behavior of a variety of neuronal and cognitive processes. Additionally the concept of strange attractors has lead to a new understanding of information processing which considers higher cognitive functions (such as language, attention, memory and decision making) as complex systems emerging from the dynamic interaction between parallel streams of information flowing between highly interconnected neuronal clusters organized in a widely distributed circuit and modulated by key central nodes. Furthermore, the paradigm of self-organization derived from the nonlinear dynamics theory has offered an interesting account of the phenomenon of emergence of new complex cognitive structures from random and non-deterministic patterns, similarly to what has been previously observed in nonlinear studies of fluid dynamics. Finally, the challenges of coupling massive amount of data related to brain function generated from new research fields in experimental neuroscience (such as magnetoencephalography, optogenetics and single-cell intra-operative recordings of neuronal activity) have generated the necessity of new research strategies which incorporate complex pattern analysis as an important feature of their algorithms. Up to now nonlinear dynamics has already been successfully employed to model both basic single and multiple neurons activity (such as single-cell firing patterns, neural networks synchronization, autonomic activity, electroencephalographic measurements, and noise modulation in the cerebellum), as well as higher cognitive functions and complex psychiatric disorders. Similarly, previous experimental studies have suggested that several cognitive functions can be successfully modeled with basis on the transient activity of large-scale brain networks in the presence of noise. Such studies have demonstrated that it is possible to represent typical decision-making paradigms of neuroeconomics by dynamic models governed by ordinary differential equations with a finite number of possibilities at the decision points and basic heuristic rules which incorporate variable degrees of uncertainty. This e-book has include frontline research in computational neuroscience and cognitive psychology involving applications of nonlinear analysis, especially regarding the representation and modeling of complex neural and cognitive systems. Several experts teams around the world have provided frontline theoretical and experimental contributions (as well as reviews, perspectives and commentaries) in the fields of nonlinear modeling of cognitive systems, chaotic dynamics in computational neuroscience, fractal analysis of biological brain data, nonlinear dynamics in neural networks research, nonlinear and fuzzy logics in complex neural systems, nonlinear analysis of psychiatric disorders and dynamic modeling of sensorimotor coordination. Rather than a comprehensive compilation of the possible topics in neuroscience and cognitive research to which non-linear may be used, this e-book intends to provide some illustrative examples of the broad range of

📒Connectomics ✍ Brent C. Munsell

Connectomics Book PDF
✏Book Title : Connectomics
✏Author : Brent C. Munsell
✏Publisher : Academic Press
✏Release Date : 2018-09-15
✏Pages : 375
✏ISBN : 0128138386
✏Available Language : English, Spanish, And French

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✏Connectomics Book Summary : Connectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer's, epilepsy, stroke, autism, Parkinson's, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment. With this book the reader will learn: Basic mathematical principles underlying connectomics How connectomics is applied to a wide range of neuro-applications What is the future direction of connectomics techniques. This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods. Features: Combines connectomics methods with relevant and interesting neuro-applications Covers most of the hot topics in neuroscience and clinical areas Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics Combines connectomics methods with relevant and interesting neuro-applications Presents information that will appeal to researchers in a wide range of disciplines, including computer science, engineering, data science, mathematics, computational physics, computational neuroscience, and more Includes a mathematics primer that formulates connectomics from an applied point-of-view, thus avoiding difficult to understand theoretical perspective Lists publicly available neuro-imaging datasets that can be used to construct structural and functional connectomes