Multiscale Models Of Brain Disorders

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Multiscale Models of Brain Disorders

Author : Vassilis Cutsuridis
Publisher : Springer Nature
ISBN 13 : 3030188302
Total Pages : 222 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Multiscale Models of Brain Disorders by : Vassilis Cutsuridis

Download or read book Multiscale Models of Brain Disorders written by Vassilis Cutsuridis and published by Springer Nature. This book was released on 2019-10-11 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Models of Brain and Behavior

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159075
Total Pages : 584 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multiscale Biomechanical Modeling of the Brain

Author : Mark F. Horstemeyer
Publisher : Academic Press
ISBN 13 : 0128181451
Total Pages : 278 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Multiscale Biomechanical Modeling of the Brain by : Mark F. Horstemeyer

Download or read book Multiscale Biomechanical Modeling of the Brain written by Mark F. Horstemeyer and published by Academic Press. This book was released on 2021-10-27 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Biomechanical Modeling of the Brain discusses the constitutive modeling of the brain at various length scales (nanoscale, microscale, mesoscale, macroscale and structural scale). In each scale, the book describes the state-of-the- experimental and computational tools used to quantify critical deformational information at each length scale. Then, at the structural scale, several user-based constitutive material models are presented, along with real-world boundary value problems. Lastly, design and optimization concepts are presented for use in occupant-centric design frameworks. This book is useful for both academia and industry applications that cover basic science aspects or applied research in head and brain protection.The multiscale approach to this topic is unique, and not found in other books. It includes meticulously selected materials that aim to connect the mechanistic analysis of the brain tissue at size scales ranging from subcellular to organ levels. Presents concepts in a theoretical and thermodynamic framework for each length scale Teaches readers not only how to use an existing multiscale model for each brain but also how to develop a new multiscale model Takes an integrated experimental-computational approach and gives structured multiscale coverage of the problems

Validating Neuro-Computational Models of Neurological and Psychiatric Disorders

Author : Basabdatta Sen Bhattacharya
Publisher : Springer
ISBN 13 : 3319200372
Total Pages : 315 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Validating Neuro-Computational Models of Neurological and Psychiatric Disorders by : Basabdatta Sen Bhattacharya

Download or read book Validating Neuro-Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by Springer. This book was released on 2015-10-30 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.

Advances in Multi-Scale Analysis of Brain Complexity

Author : Danny J. J. Wang
Publisher : Frontiers Media SA
ISBN 13 : 2889637700
Total Pages : 144 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Advances in Multi-Scale Analysis of Brain Complexity by : Danny J. J. Wang

Download or read book Advances in Multi-Scale Analysis of Brain Complexity written by Danny J. J. Wang and published by Frontiers Media SA. This book was released on 2020-06-05 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multi-scale Mathematical Modelling of Brain Networks in Alzheimer's Disease

Author : L. Tait
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Multi-scale Mathematical Modelling of Brain Networks in Alzheimer's Disease by : L. Tait

Download or read book Multi-scale Mathematical Modelling of Brain Networks in Alzheimer's Disease written by L. Tait and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective

Author : J.A. Reggia
Publisher : Elsevier
ISBN 13 : 9780080862460
Total Pages : 434 pages
Book Rating : 4.8/5 (624 download)

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Book Synopsis Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective by : J.A. Reggia

Download or read book Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective written by J.A. Reggia and published by Elsevier. This book was released on 1999-09-16 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected contributions of papers, many presented at the Second International Workshop on Neural Modeling of Brain Disorders, as well as a few additional papers on related topics, including a wide range of presentations describing computational models of neurological, neuropsychological and psychiatric disorders. It is a unique, comprehensive review of the state-of-the-art of modeling cognitive and brain disorders, appealing to a multidisciplinary audience of clinicians, psychologists, neuroscientists, cognitive scientists, computer scientists, and other neural network researchers. The rest of the book is organized along four main themes, involving memory, neuropsychological, neurological and psychiatric disorders. In general, the cognitive disorders and these psychiatric diseases traditionally regarded as "functional" were modeled along functional lines, while those disorders traditionally viewed as "organic" neurological diseases generally drew more from knowledge of the underlying neurobiology and pathophysiology.

Computational Modelling of the Brain

Author : Michele Giugliano
Publisher : Springer Nature
ISBN 13 : 3030894398
Total Pages : 361 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational Modelling of the Brain by : Michele Giugliano

Download or read book Computational Modelling of the Brain written by Michele Giugliano and published by Springer Nature. This book was released on 2022-04-26 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers an up-to-date overview of essential concepts and modern approaches to computational modelling, including the use of experimental techniques related to or directly inspired by them. The book introduces, at increasing levels of complexity and with the non-specialist in mind, state-of-the-art topics ranging from single-cell and molecular descriptions to circuits and networks. Four major themes are covered, including subcellular modelling of ion channels and signalling pathways at the molecular level, single-cell modelling at different levels of spatial complexity, network modelling from local microcircuits to large-scale simulations of entire brain areas and practical examples. Each chapter presents a systematic overview of a specific topic and provides the reader with the fundamental tools needed to understand the computational modelling of neural dynamics. This book is aimed at experimenters and graduate students with little or no prior knowledge of modelling who are interested in learning about computational models from the single molecule to the inter-areal communication of brain structures. The book will appeal to computational neuroscientists, engineers, physicists and mathematicians interested in contributing to the field of neuroscience. Chapters 6, 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Insights in computational neuroscience

Author : Si Wu
Publisher : Frontiers Media SA
ISBN 13 : 2832520502
Total Pages : 150 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Insights in computational neuroscience by : Si Wu

Download or read book Insights in computational neuroscience written by Si Wu and published by Frontiers Media SA. This book was released on 2023-04-11 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

From Neuron to Cognition via Computational Neuroscience

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262335271
Total Pages : 808 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis From Neuron to Cognition via Computational Neuroscience by : Michael A. Arbib

Download or read book From Neuron to Cognition via Computational Neuroscience written by Michael A. Arbib and published by MIT Press. This book was released on 2016-11-04 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Intelligence for Neurological Disorders

Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0323902782
Total Pages : 434 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence for Neurological Disorders by : Ajith Abraham

Download or read book Artificial Intelligence for Neurological Disorders written by Ajith Abraham and published by Academic Press. This book was released on 2022-09-23 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Discusses various AI and ML methods to apply for neurological research Explores Deep Learning techniques for brain MRI images Covers AI techniques for the early detection of neurological diseases and seizure prediction Examines cognitive therapies using AI and Deep Learning methods

Fundamentals of Brain Network Analysis

Author : Alex Fornito
Publisher : Academic Press
ISBN 13 : 0124081185
Total Pages : 494 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Fundamentals of Brain Network Analysis by : Alex Fornito

Download or read book Fundamentals of Brain Network Analysis written by Alex Fornito and published by Academic Press. This book was released on 2016-03-04 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Computational Immunology

Author : Shyamasree Ghosh
Publisher : CRC Press
ISBN 13 : 1351023489
Total Pages : 181 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Computational Immunology by : Shyamasree Ghosh

Download or read book Computational Immunology written by Shyamasree Ghosh and published by CRC Press. This book was released on 2020-01-31 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

Author : Robert T. Gerlai
Publisher : Academic Press
ISBN 13 : 0128041161
Total Pages : 710 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research by : Robert T. Gerlai

Download or read book Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research written by Robert T. Gerlai and published by Academic Press. This book was released on 2018-04-24 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists. Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior Written and edited by leading international experts

Reproducibility and Rigour in Computational Neuroscience

Author : Sharon Crook
Publisher : Frontiers Media SA
ISBN 13 : 2889638383
Total Pages : 279 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Reproducibility and Rigour in Computational Neuroscience by : Sharon Crook

Download or read book Reproducibility and Rigour in Computational Neuroscience written by Sharon Crook and published by Frontiers Media SA. This book was released on 2020-07-09 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Epilepsy Surgery: The Network Approach, An Issue of Neurosurgery Clinics of North America, E-Book

Author : Mark Richardson
Publisher : Elsevier Health Sciences
ISBN 13 : 0323756999
Total Pages : 240 pages
Book Rating : 4.3/5 (237 download)

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Book Synopsis Epilepsy Surgery: The Network Approach, An Issue of Neurosurgery Clinics of North America, E-Book by : Mark Richardson

Download or read book Epilepsy Surgery: The Network Approach, An Issue of Neurosurgery Clinics of North America, E-Book written by Mark Richardson and published by Elsevier Health Sciences. This book was released on 2020-07-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neurosurgery Clinics, guest edited by Dr. R. Mark Richardson and Dr. Vasileios Kokkinos, will focus on Epilepsy Surgery: The Network Approach. This issue is one of four selected each year by our series consulting editors, Dr. Russell R. Lonser and Dr. Daniel K. Resnick. Topics discussed in this issue will include: History of the network approach in epilepsy surgery, Networks in temporal lobe epilepsy, Networks in frontal lobe epilepsy, Networks in parietal and occipital lobe epilepsy, Structures facilitating epileptogenic network formation, Extracranial interictal and ictal EEG in sEEG planning, Ictal semiology as a tool for sEEG planning, The significance of MRI lesions in sEEG planning, Functional networks in epilepsy presurgical evaluation, Automation advances in sEEG planning, Interpretation of the intracranial sEEG signal, Electrical cortical stimulation, Epileptogenic index, Modeling the epileptogenic network, Machine learning in epilepsy surgery evaluations, Neuromodulation of epilepsy networks, and Decision-making in epilepsy surgery.

Machine Learning and Analytics in Healthcare Systems

Author : Himani Bansal
Publisher : CRC Press
ISBN 13 : 1000406199
Total Pages : 275 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Analytics in Healthcare Systems by : Himani Bansal

Download or read book Machine Learning and Analytics in Healthcare Systems written by Himani Bansal and published by CRC Press. This book was released on 2021-06-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridges the gap between engineering and medicine in combining the design and problem solving skills of engineering with health sciences Explores real-world case studies in machine learning and healthcare analytics Presents a detailed exploration of applications of machine learning in healthcare systems Provides readers with how the industry avoids some of the consequences of old methods of data sharing strategies Offers readers multiple perspectives on a variety of disciplines