الصفحة 23
الصفحة 23
Neurobiology of Human Values
Man has been pondering for centuries over the basis of his own ethical and aesthetic values. Until recent times, such issues were primarily fed by the thinking of philosophers, moralists and theologists, or by the findings of historians or sociologists relating to universality or variations in these values within various populations. Science has avoided this field of investigation within the confines of philosophy. Beyond the temptation to stay away from the field of knowledge science may also have felt itself unconcerned by the study of human values for a simple heuristic reason, namely the lack of tools allowing objective study. For the same reason, researchers tended to avoid the study of feelings or consciousness until, over the past two decades, this became a focus of interest for many neuroscientists
Neurobiology of Exceptionality
Nurture or nature? Biology or environment? Why are some people intelligent, or personable, or creative and others obtuse, or shy, or unimaginative? Although each human being is a unique mixture of positive and negative traits and behaviors, the question remains: What is the neurobiological basis for each individual’s makeup? For example, why does one person suffer from a disorder (e.g., ADHD, autism, mental retardation) and another lives free of maladies?
Neurobiology : Methods and protocols
Serves as a guide for students in the field of neurobiology, and be a bridge between basic science researchers, doctors, and surgeons in clinical practice. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Neuroanatomy for the Neuroscientist
Neurology, more than any other system of medicine, is rooted in the firm knowledge of basic science material (i.e., the anatomy, physiology, and pathology of the nervous system). This material enables students to readily arrive at diagnoses and to apply their knowledge at solving problems in clinical situations. Neuroanatomy for the Neuroscientist gives neuroscientists the tools to teach this material at levels appropriate for students at several levels of study, including undergraduate, graduate, dental, and medical school. The text also provides an updated approach to lesion localization in neurology, utilizing the techniques of computerized axial tomography (CT scanning), magnetic resonance imaging (MRI), and magnetic resonance angiography (MRA). Multiple illustrations demonstrating the value of these techniques in clinical neurology and neuroanatomical localization has been provided.
Neuroanatomical Tract-Tracing : Molecules, Neurons, and Systems
"The content of the book also serves to emphasize that neuroanatomy is, perhaps more than ever, a thriving and important part of the neurosciences...Most contributions have in common the combination of modern tract-tracing methods with other means of characterizing neural tissue, and thus the book also serves to highlight the gradual disappearance of borders between traditional neuroanatomy and other approaches to the study of the nervous system...this book should continue to be a useful source of information, and deserves to be available in all laboratories applying or considering to apply neuroanatomical methods."
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.
Neuroacanthocytosis Syndromes
Neuroacanthocytosis Syndromes is the first comprehensive review of a field that has not yet received the attention it deserves. Affecting the brain as well as the circulating red cells, these multi-system disorders in the past had often been mistaken for Huntington's disease. Recent breakthroughs have now identified the molecular basis of several of these. This volume grew out of the first international scientific meeting ever devoted to neuroacanthocytosis and provides in-depth information about the state of the art. Its thirty chapters were written by the leading authorities in the field to cover the clinical as well as the basic science perspective, including not only molecular genetics but also experimental pharmacology and cell membrane biology, among others. The book vehemently poses the question of how the membrane deformation of circulating red blood cells relates to degeneration of nerve cells in the brain, the basal ganglia, in particular. It provides a wealth of data that will help to solve an intriguing puzzle and ease the suffering of those affected by one of the neuroacanthocytosis syndromes.
Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems
This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.
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 Nets ; 16th Italian Workshop on Neural Nets, WIRN 2005, International workshop on natural and artificial immune systems, NAIS 2005, Vietri sul Mare, Italy, June 8-11, 2005, Revised Selected Papers
This book constitutes the thoroughly refereed postproceedings of the 16th Italian Workshop on Neural Nets, WIRN 2005, as well as the satellite International Workshop on Natural and Artificial Immune Systems, NAIS 2005, held in Vietri sul Mare, Italy in June 2005. The 41 revised papers presented together with a lecture by the winner of the Premio Caianiello award were carefully reviewed and improved during two rounds of selection and refereeing.
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.
