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Neurodevelopmental Disorders
The book comprises a number of topics related to psychosocial and motor development and is exemplary with regard to its comprehensiveness, as reviews of the topics presented are generally not available in a single publication. It starts with a timely and critical discussion of the genetics of attention deficit hyperactivity disorder by Dr. Buitelaar in which prospects and challenges of this approach are outlined. The next chapter by Drs. Nicolson and Fawcett deals with dyslexia and its relationship to cerebellar function providing a framework that can explain motor, speed, and phonological deficits in a unified approach. Diagnostic and treatment aspects of speech development disorders are the focus of Dr. Zorowka’s contribution in which, among other issues, the necessity of mul- professional cooperation is stressed. Dr. Sigmundsson then focuses on disorders of motor development. 6-10 % of children have motor competence well below the norm, which often persist.
Neurodegeneration in Multiple Sclerosis
In multiple sclerosis (MS), conventional magnetic resonance imaging (cMRI) has proved to be a valuable tool to increase diagnostic reliability and to monitor the efficacy of experimental treatment. However, cMRI has limited specificity and accuracy as to the most disabling aspects of the MS pathology, known to occur in and outside macroscopic lesions. Modern quantitative MR techniques have the potential to overcome the limitations of cMRI, and their application is dramatically changing our understanding of how MS causes irreversible disability.
Neurodegeneration and Prion Disease
This volume provides an in-depth overview from world experts on prion disease. These fatal diseases include Creutzfeldt-Jakob disease, chronic wasting disease in deer, scrapie of sheep, bovine spongiform encephalopathy (mad cow’s disease) of cattle and related diseases. Understanding what causes neuronal death in these diseases is essential to both preventing and curing them. The most recent advances in understanding neuronal death in prion diseases are presented. Prion diseases serve as an experimental model for all neurodegenerative conditions. This book will provide understanding of neurodegeneration and provide an up-to-date record of the state of the art for other specialists and non-specialists in related fields.
NEURO-COVID-19 : Neuroinvasive potential and neurological complications of SARS-CoV-2
From the earliest days of the COVID-19 pandemic, there have been reports of significant neurological and psychological symptoms following SARS-CoV-2 infection. This research paper is designed to examine the potential psychoneuroendocrine pathogenic mechanisms by which SARS-CoV-2 elicits psychiatric sequelae, as well as to posit potential pharmacologic strategies to address and reverse these pathologies. Following a brief overview of the presence and prevalence of neuropsychiatric manifestation in COVID-19 patients, we address mechanisms by which SARS-CoV-2 could enter or otherwise elicit changes in the CNS.
Neuroblastoma
Neuroblastoma is a medical enigma. As a childhood neoplasm arising from neural crest cells, it is characterized by diverse clinical behaviors ranging from spontaneous remission to rapid tumor progression and death. Although clinical outcome can be predicted to a large extent by the stage of disease and the age at diagnosis, an in-depth understanding of its clinico-pathological behavior, now greatly aided by sophisticated molecular genetic profiling, will improve diagnostic precision and refine risk-based therapies. Comprehensive international efforts have advanced our understanding of tumor biology and improved the clinical management of children with neuroblastoma. This book reviews our current understanding of the genes and biological pathways that contribute to neuroblastoma pathogenesis, modern risk-based treatment approaches for these patients, and recent advances in biologically based therapy. It provides a concise up-to-date reference for practitioners, students, and researchers.
Neuroactive Steroids in Brain Function, Behavior and Neuropsychiatric Disorders : Novel Strategies for Research and Treatment
Over the past few decades the involvement of neurosteroids in brain function and mental health has attracted much interest, not only from a neuroscience perspective, but also from clinical and therapeutic aspects. In recent years, much of the research has focused on the multifunctional position of neurosteroids in the nervous system. The areas that have been explored, in particular, are the cellular and molecular mechanisms involved in the activity of neurosteroids in the brain, the role of neurosteroids in brain development, neurodegeneration and neuroplasticity, and their pharmacological properties. The large increase in the number of publications highlights this amplified interest in neurosteroids. Over the last 7 years at least 400 papers have been published describing the putative role of neurosteroids in the modulation of basic brain function and in the etiology and treatment of psychiatric and neurological disorders.
Neuroacanthocytosis Syndromes II
Awareness of neuroacanthocytosis disorders has increased significantly in recent years. There have been a number of important developments in the field since the publication of the first volume, Neuroacanthocytosis Syndromes. This book contains the latest research in this area. Recent advances have identified the range of mutations in the causative genes, shedding light on potential phenotypegenotype correlations. Studies of the proteins affected in these disorders have resulted in increased understanding of their functions and distribution. In vitro studies have identified potential protein interactions, which have important implications for pathophysiology. Work on erythrocyte membranes suggests mechanisms for the generation of acanthocytes. Animal models are being generated which will greatly facilitate understanding the role of gene mutations in humans, and provide the foundation for possible therapeutic interventions. In addition, advances in other neurodegenerative disorders, such as Huntington’s and Parkinson’s diseases, have implications for neuroacanthocytosis.
Neural Networks in a Softcomputing Framework
This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.
Neural Networks and Sea Time Series : Reconstruction and Extreme-Event Analysis
This book, a careful blend of theory and applications, is an excellent introduction to the use of ANN, which may encourage readers to try analogous approaches in other important application areas. Researchers, practitioners, and advanced graduate students in neural networks, hydraulic and marine engineering, prediction theory, and data analysis will benefit from the results and novel ideas presented in this useful resource.
Neural networks and deep learning
Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.
Neural Networks : Methodology and Applications
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts ands seemlessly edited to present a coherent and comprehensive, yet not redundant, practically-oriented introduction.
Neural Networks : Computational Models and Applications
Neural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. By presenting various computational models, this book is developed to provide readers with a quick but insightful understanding of the broad and rapidly growing areas in the neural networks domain. Besides laying down fundamentals on artificial neural networks, this book also studies biologically inspired neural networks. Some typical computational models are discussed, and subsequently applied to objection recognition, scene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis.
Neural Network Theory
Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world.
Neural Network Driven Artificial Intelligence : Decision Making Based On Fuzzy Logic
Artificial Intelligence, Computer Science and Internet, Computer Science, Technology and Applications, Mathematics Research Developments
Neural Information Processing ; Vol. 4234 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III
This book and its companion volumes constitute the Proceedings of the 13th - ternationalConferenceonNeuralInformationProcessing(ICONIP2006)heldin Hong Kong during October 3–6,2006. ICONIP is the annual ?agship conference oftheAsiaPaci?cNeuralNetworkAssembly(APNNA)withthepasteventsheld in Seoul (1994), Beijing (1995), Hong Kong (1996), Dunedin (1997), Kitakyushu (1998), Perth(1999), Taejon(2000), Shanghai(2001), Singapore(2002), Istanbul (2003), Calcutta(2004), andTaipei(2005). Overtheyears, ICONIPhasmatured into a well-established series of international conference on neural information processing and related ?elds in the Asia and Paci?cregions. Following the tra- tion, ICONIP 2006 provided an academic forum for the participants to diss- inate their new research ?ndings and discuss emerging areas of research.
Neural Information Processing ; Vol. 4233 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II
The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.
Neural Information Processing ; Vol. 4232 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I
This book and its companion volumes constitute the Proceedings of the 13th - ternationalConferenceonNeuralInformationProcessing(ICONIP2006)heldin Hong Kong during October 3–6,2006. ICONIP is the annual ?agship conference oftheAsiaPaci?cNeuralNetworkAssembly(APNNA)withthepasteventsheld in Seoul (1994), Beijing (1995), Hong Kong (1996), Dunedin (1997), Kitakyushu (1998), Perth(1999), Taejon(2000), Shanghai(2001), Singapore(2002), Istanbul (2003), Calcutta(2004), andTaipei(2005). Overtheyears, ICONIPhasmatured into a well-established series of international conference on neural information processing and related ?elds in the Asia and Paci?cregions. Following the tra- tion, ICONIP 2006 provided an academic forum for the participants to diss- inate their new research ?ndings and discuss emerging areas of research.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models ,supervised /unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Crest Induction and Differentiation
Neural Crest Induction and Differentiation, written by an international panel of recognized leaders in the field, discusses all aspects of modern neural crest biology from its evolutionary significance, to its specification, migration, plasticity and contribution to multiple lineages of the vertebrate body, to the pathologies associated with abnormal neural crest development and function. Each chapter provides an invaluable resource for information on the most current advances in the field, with discussion of controversial issues and areas of emerging importance.
