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Author: Zhe Chen
Publisher: John Wiley & Sons
ISBN: 0470171448
Category : Science
Languages : en
Pages : 480
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Book Description
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.
Author: Zhe Chen
Publisher: John Wiley & Sons
ISBN: 0470171448
Category : Science
Languages : en
Pages : 480
Get Book
Book Description
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.
Author: Robert H. Hamlin
Publisher:
ISBN:
Category : African Americans
Languages : en
Pages : 164
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Book Description
Author: Paul Verkade
Publisher: John Wiley & Sons
ISBN: 1119086442
Category : Science
Languages : en
Pages : 248
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Book Description
Brings a fresh point of view to the current state of correlative imaging and the future of the field This book provides contributions from international experts on correlative imaging, describing their vision of future developments in the field based on where it is today. Starting with a brief historical overview of how the field evolved, it presents the latest developments in microscopy that facilitate the correlative workflow. It also discusses the need for an ideal correlative probe, applications in proteomic and elemental analysis, interpretation methods, and how correlative imaging can incorporate force microscopy, soft x-ray tomography, and volume electron microscopy techniques. Work on placing individual molecules within cells is also featured. Correlative Imaging: Focusing on the Future offers in-depth chapters on: correlative imaging from an LM perspective; the importance of sample processing for correlative imaging; correlative light and volume EM; correlation with scanning probe microscopies; and integrated microscopy. It looks at: cryo-correlative microscopy; correlative cryo soft X-ray imaging; and array tomography. Hydrated-state correlative imaging in vacuo, correlating data from different imaging modalities, and big data in correlative imaging are also considered. Brings a fresh view to one of the hottest topics within the imaging community: the correlative imaging field Discusses current research and offers expert thoughts on the field’s future developments Presented by internationally-recognized editors and contributors with extensive experience in research and applications Of interest to scientists working in the fields of imaging, structural biology, cell biology, developmental biology, neurobiology, cancer biology, infection and immunity, biomaterials and biomedicine Part of the Wiley–Royal Microscopical Society series Correlative Imaging: Focusing on the Future will appeal to those working in the expanding field of the biosciences, correlative microscopy and related microscopic areas. It will also benefit graduate students working in microscopy, as well as anyone working in the microscopy imaging field in biomedical research.
Author: Jos J. Eggermont
Publisher: Springer Science & Business Media
ISBN: 3642510337
Category : Medical
Languages : en
Pages : 319
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Book Description
This monograph is the result of a course given to graduate students and to the faculty of the Dept. of Medical Physics and Biophysics of Nijmegen University, Nijmegen, The Netherlands, in the fall of 1984 and 1985. The course was intended to put together experi ment, theory, and analysis methods in order to study neural in teraction and coding in the brain. The following pages give a survey of neural interaction and its experimental substrate: cor related neural activity. The basic reason for restricting myself to vertebrate brains was to keep the material concise. As the text developed, however, it became more of a review, than a research monograph, in the attempt to balance theoretical and experimen tal aspects in brain research. Consequently, the book can be read from various points of view: that of requiring an overview of theories and theoretical principles, or an overview of experimental studies in neural interaction and the methods that can be used, or with the conviction that theory and experiment cannot be separat ed. In the latter case the book should be read from beginning to end. A way to read through the theoretical sections and the ex perimental sections of the book is presented in the following flow chart; Theory: /Chap. 2 -Chap. 4 -Chap. 5 ___ ~ Introduction -+ Chap. 1 \, Chap. 10 -+ Chap. 14 Experim~Chap. 3 -Chap. 6 -Chap. 7 -Chap. 8 ~ Chap.
Author: Haikonen Pentti O A
Publisher: World Scientific
ISBN: 981120506X
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
THIS BOOK is the fully revised and updated second edition of 'Consciousness and Robot Sentience'. With lots of new material, it will provide new insights into artificial intelligence (AI) and machine consciousness, beyond materials published in the first edition. The organization of this book has been streamlined for better clarity and continuity of the lines of arguments.The perspective of AI has been added to this edition. It is shown that contemporary AI has a hidden problem, which prevents it from becoming a true intelligent agent. A self-evident solution to this problem is given in this book.This solution is surprisingly connected with the concepts of qualia, the mind-body problem and consciousness. These are the hard problems of consciousness that so far have been without viable solution. Unfortunately, the solution to the hidden problem of AI cannot be satisfactorily implemented, unless the phenomena of qualia and consciousness are first understood. In this book an explanation of consciousness is presented, one that rejects material and immaterial substances, dualism, panpsychism, emergence and metaphysics. What remains is obvious. This explanation excludes consciousness in digital computers, but allows the artificial creation of consciousness in one natural-like way, by associative non-computational neural networks.The proof of a theory calls for empirical verification. In this case, the proof could be in the form of a sentient robot. This book describes a step towards this in the form of the author's small experimental robot XCR-1. This robot has evolved through the years, and has now new cognitive abilities, which are described.
Author: Myint Swe Khine
Publisher: Springer
ISBN: 3319163906
Category : Science
Languages : en
Pages : 637
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Book Description
This book presents innovations in teaching and learning science, novel approaches to science curriculum, cultural and contextual factors in promoting science education and improving the standard and achievement of students in East Asian countries. The authors in this book discuss education reform and science curriculum changes and promotion of science and STEM education, parental roles and involvement in children's education, teacher preparation and professional development and research in science education in the context of international benchmarking tests to measure the knowledge of mathematics and science such as the Trends in Mathematics and Science Study (TIMSS) and achievement in science, mathematics and reading like Programme for International Student Assessment (PISA). Among the high achieving countries, the performance of the students in East Asian countries such as Singapore, Taiwan, Korea, Japan, Hong Kong and China (Shanghai) are notable. This book investigates the reasons why students from East Asian countries consistently claim the top places in each and every cycle of those study. It brings together prominent science educators and researchers from East Asia to share their experience and findings, reflection and vision on emerging trends, pedagogical innovations and research-informed practices in science education in the region. It provides insights into effective educational strategies and development of science education to international readers.
Author:
Publisher: Academic Press
ISBN: 9780080877860
Category : Psychology
Languages : en
Pages : 888
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Book Description
The study of learning and memory is a central topic in neuroscience and psychology. Many of the basic research findings are directly applicable in the treatment of diseases and aging phenomena, and have found their way into educational theory and praxis. Concise Learning and Memory represents the best 30 chapters from Learning and Memory: A comprehensive reference (Academic Press March 2008), the most comprehensive source of information about learning and memory ever assembled, selected by one of the most respective scientists in the field, John H. Byrne. This concise version provides a truly authoritative collection of overview articles representing fundamental reviews of our knowledge of this central cognitive function of animal brains. It will be an affordable and accessible reference for scientists and students in all areas of neuroscience and psychology. There is no other single-volume reference with such authority and comprehensive coverage and depth currently available. * Represents an authoritative selection of the fundamental chapters from the most comprehensive source of information about learning and memory ever assembled, Learning and Memory - A comprehensive reference (Academic Press Mar 2008) * Representing outstanding scholarship, each chapter is written by a leader in the field and an expert in the topic area * All topics represent the most up to date research * Full color throughout, heavily illustrated * Priced to provide an affordable reference to individuals and workgroups
Author: Ashok N. Srivastava
Publisher: CRC Press
ISBN: 1498703887
Category : Computers
Languages : en
Pages : 238
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Book Description
From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.
Author: David S. Dockery
Publisher: B&H Publishing Group
ISBN: 0805447881
Category : Education
Languages : en
Pages : 242
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Book Description
Renewing Minds encourages readers to better serve God, the church, and society by taking part in or supporting Christian higher education.
Author: Ignac Lovrek
Publisher: Springer
ISBN: 3540855653
Category : Computers
Languages : en
Pages : 1079
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Book Description
The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the second volume are artificial intelligence driven engineering design optimization; biomedical informatics: intelligent information management from nanomedicine to public health; communicative intelligence; computational intelligence for image processing and pattern recognition; computational intelligence in human cancer research; computational intelligence techniques for Web personalization; computational intelligent techniques for bioprocess modelling, monitoring and control; intelligent computing for Grid; intelligent security techniques; intelligent utilization of soft computing techniques; reasoning-based intelligent systems: relevant reasoning for discovery and prediction; spatio-temporal database concept support for organizing virtual earth; advanced knowledge-based systems; chance discovery; innovation-oriented knowledge management platform; knowledge-based creativity support systems; knowledge-based interface systems; knowledge-based multi-criteria decision support; and knowledge-based systems for e-business.
