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Computational Neuroscience in Epilepsy

Computational Neuroscience in Epilepsy
  • Author : Ivan Soltesz,Kevin Staley
  • Publisher :Unknown
  • Release Date :2011-09-02
  • Total pages :624
  • ISBN : 0080559530
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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

Epilepsy

Epilepsy
  • Author : Ivan Osorio,Hitten P. Zaveri,Mark G. Frei,Susan Arthurs
  • Publisher :Unknown
  • Release Date :2016-04-19
  • Total pages :578
  • ISBN : 1439838860
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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.

Computational Models of Brain and Behavior

Computational Models of Brain and Behavior
  • Author : Ahmed A. Moustafa
  • Publisher :Unknown
  • Release Date :2017-11-13
  • Total pages :584
  • ISBN : 9781119159063
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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.

Imaging Biomarkers in Epilepsy

Imaging Biomarkers in Epilepsy
  • Author : Andrea Bernasconi,Neda Bernasconi,Matthias Koepp
  • Publisher :Unknown
  • Release Date :2019-01-10
  • Total pages :272
  • ISBN : 9781107108356
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Summary : Assembles world-class expertise on clinical and molecular imaging-derived biomarkers, presenting neuroimaging in epilepsy in a broad neuroscientific context.

Hippocampal Microcircuits

Hippocampal Microcircuits
  • Author : Vassilis Cutsuridis,Bruce Graham,Stuart Cobb,Imre Vida
  • Publisher :Unknown
  • Release Date :2010-02-01
  • Total pages :617
  • ISBN : 1441909966
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Summary : Rich in detail, Hippocampal Microcircuits: A Computational Modeler’s Resource Book provides succinct and focused reviews of experimental results. It is an unparalleled resource of data and methodology that will be invaluable to anyone wishing to develop computational models of the microcircuits of the hippocampus. The editors have divided the material into two thematic areas. Covering the subject’s experimental background, leading neuroscientists discuss the morphological, physiological and molecular characteristics as well as the connectivity and synaptic properties of the various cell types found in the hippocampus. Here, ensemble activity, related to behavior, on the part of morphologically identified neurons in anesthetized and freely moving animals, lead to insights into the functions of hippocampal areas. In the second section, on computational analysis, computational neuroscientists present models of hippocampal microcircuits at various levels of detail, including single-cell and network levels. A full chapter is devoted to the single-neuron and network simulation environments currently used by computational neuroscientists in developing their models. In addition to the above, the chapters also identify outstanding questions and areas in need of further clarification that will guide future research by computational neuroscientists.

From Computer to Brain

From Computer to Brain
  • Author : William W. Lytton
  • Publisher :Unknown
  • Release Date :2002-10-01
  • Total pages :364
  • ISBN : 0387955267
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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.

Computational Neuroscience

Computational Neuroscience
  • Author : Vinícius Rosa Cota,Dante Augusto Couto Barone,Diego Roberto Colombo Dias,Laila Cristina Moreira Damázio
  • Publisher :Unknown
  • Release Date :2019-11-28
  • Total pages :284
  • ISBN : 9783030366360
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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.

Multiscale Models of Brain Disorders

Multiscale Models of Brain Disorders
  • Author : Vassilis Cutsuridis
  • Publisher :Unknown
  • Release Date :2019-10-11
  • Total pages :222
  • ISBN : 9783030188306
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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.

Neural Control Engineering

Neural Control Engineering
  • Author : Steven J. Schiff
  • Publisher :Unknown
  • Release Date :2012
  • Total pages :361
  • ISBN : 9780262015370
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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.

Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics

Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics
  • Author : Carl Faingold,Hal Blumenfeld
  • Publisher :Unknown
  • Release Date :2013-12-26
  • Total pages :512
  • ISBN : 9780124158641
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Summary : Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics, edited by two leaders in the field, offers a current and complete review of what we know about neural networks. How the brain accomplishes many of its more complex tasks can only be understood via study of neuronal network control and network interactions. Large networks can undergo major functional changes, resulting in substantially different brain function and affecting everything from learning to the potential for epilepsy. With chapters authored by experts in each topic, this book advances the understanding of: How the brain carries out important tasks via networks How these networks interact in normal brain function Major mechanisms that control network function The interaction of the normal networks to produce more complex behaviors How brain disorders can result from abnormal interactions How therapy of disorders can be advanced through this network approach This book will benefit neuroscience researchers and graduate students with an interest in networks, as well as clinicians in neuroscience, pharmacology, and psychiatry dealing with neurobiological disorders. Utilizes perspectives and tools from various neuroscience subdisciplines (cellular, systems, physiologic), making the volume broadly relevant Chapters explore normal network function and control mechanisms, with an eye to improving therapies for brain disorders Reflects predominant disciplinary shift from an anatomical to a functional perspective of the brain Edited work with chapters authored by leaders in the field around the globe – the broadest, most expert coverage available

Cognitive and Computational Neuroscience

Cognitive and Computational Neuroscience
  • Author : Seyyed Abed Hosseini
  • Publisher :Unknown
  • Release Date :2018-05-30
  • Total pages :104
  • ISBN : 9781789231885
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Summary : The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

Computational Neurology and Psychiatry

Computational Neurology and Psychiatry
  • Author : Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. Cochran
  • Publisher :Unknown
  • Release Date :2017-01-25
  • Total pages :448
  • ISBN : 9783319499598
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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.

Recent Advances in Predicting and Preventing Epileptic Seizures

Recent Advances in Predicting and Preventing Epileptic Seizures
  • Author : Ronald Tetzlaff,Christian E Elger,Klaus Lehnertz
  • Publisher :Unknown
  • Release Date :2013-08-28
  • Total pages :304
  • ISBN : 9789814525367
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Summary : This book is to improve our understanding of mechanisms leading to seizures in humans and in developing new therapeutic options. The book covers topics such as recent approaches to seizure control, recent developments in signal processing of interest for seizure prediction, ictogenesis in complex epileptic brain networks, active probing of the pre-seizure state, non-EEG based approaches to the transition to seizures, microseizures and their role in the generation of clinical seizures, the impact of sleep and long-biological cycles on seizure prediction, as well as animal and computational models of seizures and epilepsy. Furthermore the book covers recent developments of international databases and of parallel computing structures based on Cellular Nonlinear Networks that can play an important role in the realization of a portable seizure warning device. Contents:Epileptic Networks and Their Role for Seizure Prediction and Seizure Control:Transition Into and Out of a Focal Seizure (M de Curtis)Neuronal and Network Dynamics Preceding Experimental Seizures (P Jiruska, F Mormann and J G R Jefferys)Interictal EEG and Its Relevance for Seizure Prediction (A Schulze-Bonhage)Invasive Brain Stimulation in the Treatment of Epilepsy (M Sprengers, R Raedt, A Meurs, E Carrette, D van Roost, P Boon and K Vonck)Computational Models of Seizures and Epilepsy:Patient-Specific Neural Mass Modeling — Stochastic and Deterministic Methods (D R Freestone, L Kuhlmann, M S Chong, D Nesic and D B Grayden)Computational Modelling of Microseizures and Focal Seizure Onset (Y Wang, M Goodfellow, P N Taylor, D J Garry and G Baier)Predictability of Seizure-Like Events in a Complex Network Model of Integrate-and-Fire Neurons (A Rothkegel and K Lehnertz)Bursting and Synchrony in Networks of Model Neurons (C Geier, A Rothkegel and K Lehnertz)Advances in Analysis and Measurement Techniques:Signal Processing of the EEG: Approaches Tailored to Epilepsy (B Schelter, M Thiel, M Mader and W Mader)From Time Series to Complex Networks: An Overview (S Bialonski and K Lehnertz)Visualizing and Quantifying EEG Complexity on the Base of Ordinal Pattern Distributions (K Keller)Dynamics of Linear and Nonlinear Interrelation Networks in Peri-Ictal Intracranial EEG: Seizure Onset and Termination (C Rummel, M Müller, M Hauf, R Wiest and K Schindler)On the Centrality of the Focus in Human Epileptic Brain Networks (C Geier, M-T Kuhnert, C E Elger and K Lehnertz)Pre-Seizure States in Epileptic Brain Nnetworks: A Surrogate-Assisted, Weighted Network Analysis (G Ansmann, M-T Kuhnert, C E Elger and K Lehnertz)Network Analysis of Generalized Epileptic Discharges (P Ossenblok, P van Houdt, A Lüttjohann and G van Luijtelaar)Signal Processing Platform Based on Cellular Nonlinear Networks (J Müller, J Müller, R Becker and R Tetzlaff)Seizure Prediction by Cellular Nonlinear Networks? (V Senger and R Tetzlaff)Measuring Directed Interactions Using Cellular Neural Networks with Complex Connection Topologies (H Dickten, C E Elger and K Lehnertz)Seizure Prediction Using Optical Measurements of Blood Flow and Oxygenation (M Zhao, H Ma and T H Schwartz)Observing the Sleep-Wake Regulatory System to Improve Prediction of Seizures (M Sedigh-Sarvestani and B J Gluckman)The World's Largest Epilepsy Database: Content and Structure (M Ihle, B Schelter, J Timmer and A Schulze-Bonhage) Readership: Graduate students and professionals in the field of epileptology, neurosurgery and neuroscience. Keywords:Epileptic Networks;Seizure Prediction;Seizure Control;Computational Models;EpilepsyKey Features:Provides latest findings in the field of epilepsy research

Bundle for Epilepsy Researchers

Bundle for Epilepsy Researchers
  • Author : Ruben Kuzniecky,Asla Pitknen,Ivan Soltesz
  • Publisher :Unknown
  • Release Date :2008-10-03
  • Total pages :229
  • ISBN : 0123748690
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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.

Neuronal Substrates of Sleep and Epilepsy

Neuronal Substrates of Sleep and Epilepsy
  • Author : Mircea Steriade
  • Publisher :Unknown
  • Release Date :2003-05-08
  • Total pages :522
  • ISBN : 0521817072
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Summary : Conventional wisdom assumes 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 sleep, memory traces acquired while awake are consolidated. Mircea Steriade focuses on the coalescence of different sleep rhythms in interacting corticothalamic networks and on three types of paroxysmal disorders: 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 NEURON Book

The NEURON Book
  • Author : Nicholas T. Carnevale,Michael L. Hines
  • Publisher :Unknown
  • Release Date :2006-01-12
  • Total pages :229
  • ISBN : 9781139447836
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Summary : The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.

Diversity in the Neuronal Machine

Diversity in the Neuronal Machine
  • Author : Ivan Soltesz
  • Publisher :Unknown
  • Release Date :2006
  • Total pages :238
  • ISBN : 9780195177015
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Summary : Aims to provide insights into the striking degree of cellular diversity found in the interneuronal microcircuits in the brain's neocortex and hippocampus. This book elaborates on different ideas about interneuronal diversity that rest upon theoretical and experimental results and is useful for neuroscientists.

The Dentate Gyrus: A Comprehensive Guide to Structure, Function, and Clinical Implications

The Dentate Gyrus: A Comprehensive Guide to Structure, Function, and Clinical Implications
  • Author : Helen E. Scharfman
  • Publisher :Unknown
  • Release Date :2011-09-22
  • Total pages :840
  • ISBN : 0080551750
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Summary : The dentate gyrus is a part of the brain that has been a topic of intense interest since the beginning of neuroscience, and pioneering studies from the distant and recent past attest to this. One of the reasons for such interest is that this structure provides some of the most remarkable examples of plasticity within the nervous system. In addition, it is critical to normal cognitive function, although exactly how and when is still a question that eludes answers. Furthermore, abnormalities within the dentate gyrus appear to play a role in diverse clinical conditions, from depression to epilepsy and traumatic brain injury. The primary goal of this book is to provide a context, or background, upon which the detailed knowledge of the current era can be appreciated. A series of overviews are provided to clarify essentials related to structural organization and development, cellular components, neurotransmitters and neuromodulators, plasticity, and clinical relevance. * Covers the topic comprehensively from anatomy to cellular and systems perspectives * Includes basic research and addresses translational implications, so it will be useful to both researchers in the laboratory and clinicians who conduct experiments in humans * Chapters provide fundamentals, but also details and ample references for further review of the topic

Cerebral Cortex

Cerebral Cortex
  • Author : Professor of Experimental Psychology Edmund T Rolls
  • Publisher :Unknown
  • Release Date :2016-10-11
  • Total pages :1008
  • ISBN : 9780198784852
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Summary : "A book remarkable in its ambition, and even more remarkable in its content. A truly landmark achievement by a neuroscientist who has brought together his lifetime of research knowledge and experience into this outstanding volume. Edmund Rolls is to be congratulated on this impressive synthesis of decades of neuroscience data." David Nutt, Professor of Neuropsychopharmacology at Imperial College London and President of the European Brain Council The aim of this book is to provide insight into the principles of operation of the cerebral cortex. These principles are key to understanding how we, as humans, function. There have been few previous attempts to set out some of the important principles of operation of the cortex, and this book is pioneering. The book goes beyond separate connectional neuroanatomical, neurophysiological, neuroimaging, neuropsychiatric, and computational neuroscience approaches, by combining evidence from all these areas to formulate hypotheses about how and what the cerebral cortex computes. As clear hypotheses are needed in this most important area of 21st century science, how our brains work, the author has formulated a set of hypotheses about the principles of cortical operation to guide thinking and future research. The book focusses on the principles of operation of the cerebral cortex, because at this time it is possible to propose and describe many principles, and many are likely to stand the test of time, and provide a foundation for further developments, even if some need to be changed. In this context, I have not attempted to produce an overall theory of operation of the cerebral cortex, because at this stage of our understanding, such a theory would be incorrect or incomplete. However, many of the principles described will provide the foundations for more complete theories of the operation of the cerebral cortex. This book is intended to provide a foundation for future understanding, and it is hoped that future work will develop and add to these principles of operation of the cerebral cortex. The book includes Appendices on the operation of many of the neuronal networks described in the book, together with simulation software written in Matlab. This book will be valuable to all those interested in understanding our cerebral cortex and how it operates to account for many aspects of brain function and cognitive function in health and disease. The book is relevant to those in the areas of neuroscience, neurology, psychology, psychiatry, computational neuroscience, biology, and philosophy. Professor Edmund T. Rolls performs full-time research at the Oxford Centre for Computational Neuroscience, and is professor of Computational Neuroscience at the University of Warwick, and has acted as Professor of Experimental Psychology at the University of Oxford, and as Fellow and Tutor of Corpus Christi College, Oxford. His research links neurophysiological and computational neuroscience approaches to human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding human brain function and its disorders.

Seizures and Epilepsy

Seizures and Epilepsy
  • Author : Jerome Engel
  • Publisher :Unknown
  • Release Date :2013-01-31
  • Total pages :706
  • ISBN : 9780195328547
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Summary : This second edition of Seizures and Epilepsy, written almost a quarter of a century after the ground-breaking first edition, is more than an update: it is a complete revision due to tremendous advances in the field. Our understanding of the fundamental neuronal mechanisms underlying epileptic phenomena, as well as current diagnosis and treatment, have been heavily influenced over the past several decades by seminal neuroscientific developments, particularly the introduction of molecular neurobiology, genetics, and modern neuroimaging. According to the World Health Organization, epilepsy accounts for 1% of the global burden of disease, equivalent to breast cancer in women and lung cancer in men. Among primary disorders of the brain, it is equivalent to depression, dementia, and substance abuse. Singly authored by Jerome Engel, Jr, this must-read from 1989 reasserts itself as a modern classic comprehensive textbook covering a broad range of both basic and clinical epileptology.

The Rewiring Brain

The Rewiring Brain
  • Author : Arjen van Ooyen,Markus Butz-Ostendorf
  • Publisher :Unknown
  • Release Date :2017-06-23
  • Total pages :592
  • ISBN : 9780128038727
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Summary : The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke. Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In The Rewiring Brain, the editors bring together for the first time contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders. Structural plasticity adds a whole new dimension to brain plasticity, and The Rewiring Brain shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists. Reviews the current state of knowledge of structural plasticity in the adult brain Gives a comprehensive overview of computational studies on structural plasticity Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage