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Micro-, Meso- and Macro-Dynamics of the Brain
This book brings together leading investigators who represent various aspects of brain dynamics with the goal of presenting state-of-the-art current progress and address future developments. The topics cover the most fascinating facets of neuroscience from elementary computation of neurons, mesoscopic network oscillations, internally generated assembly sequences in the service of cognition, large-scale neuronal interactions within and across systems, the impact of sleep on cognition, memory and mental illness, brain controlled robots, motor-sensory integration, spatial navigation, large-scale computation and consciousness. Overall, this volume offers an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
Micro-, Meso- and Macro-Connectomics of the Brain
Highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
MICAI 2008 : Advances in Artificial Intelligence ;7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings
The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. The papers are organized in topical sections on logic and reasoning, knowledge-based systems, knowledge representation and acquisition, ontologies, natural language processing, machine learning, pattern recognition, data mining, neural networks, genetic algorithms, hybrid intelligent systems, computer vision and image processing, robotics, planning and scheduling, uncertainty and probabilistic reasoning, fuzzy logic, intelligent tutoring systems, multi-agent systems and distributed ai, intelligent organizations, bioinformatics and medical applications, as well as applications.
MICAI 2007 : Advances in artificial intelligence ; 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings
The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community.
MICAI 2006 : Advances in Artificial Intelligence ; 5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006, Proceedings
This volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial Intelligence, held on November 13–17, 2006, at the Technologic Institute of Apizaco, Mexico. The conference received for evaluation 448 submissions by 1207 authors from 42 different countries
MICAI 2005 : Advances in Artificial Intelligence ; 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings
Constitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, held Mexico, in November 2005. This book is organized in topical sections on knowledge representation and management, logic and constraint programming, uncertainty reasoning, multiagent systems and distributed AI, and others.
M-Health : Emerging Mobile Health Systems
M-health: Emerging Mobile Health Systems presents recent advances in this area and explores future trends in the applications of current and emerging wireless communication and network technologies for healthcare delivery and new wireless telemedical services. This work also evaluates the impact of the synergies between the 2.5G and 3G systems and beyond for healthcare applications and explores the augmentation of these technologies for the next generation of m-health services. M-health is commonly defined as the ‘emerging mobile communications and network technologies for healthcare systems’.
Metric Driven Design Verification : An Engineer's and Executive's Guide to First Pass Success
A metric based flow is described that focuses on the four steps of: 1. Planning: Defining what needs to be done and the automatically trackable metrics that will be used to measure progress. 2. Execution: Implementing verification environments and then extensively exercising the device under verification utilizing comprehensive, massively parallel regression strategies. 3. Measurement: Automatically capturing the metrics defined in planning to provide objective data with which to manage the verification project. Custom tailoring those metrics through an automated reporting framework to provide all stakeholders a real-time meaningful view of project status. 4. Response: Utilizing the returned metrics to effectively adapt to changing project conditions. Making use of automated response mechanisms to automate engineering processed and management response to streamline project management processes
Methods of microarray data analysis V
In this volume, all investigators analyzed a single dataset on the lifecycle of the most deadly of malaria parasites, Plasmodium falciparum. The emphasis this year is on the application of novel and existing computational methodologies towards infectious disease. We highlight an introductory chapter by Raphael D. Isokpehi, a leading expert in the field of malaria. Ten of the papers presented at the conference are included, which range from the inference of genetic networks to the analysis of the spatial correlation of array data. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art in microarray data analysis.
Methods and Tools for Drought Analysis and Management
Implementation of effective drought management policies requires both advanced technologies and appropriate methods. Monitoring and forecasting systems, practical tools for risk assessment, as well as simple and objective criteria to select and implement appropriate drought mitigation measures are key elements for a successful drought management strategy.These key issues have been tackled by universities and public agencies involved in the EU projects Sedemed and Sedemed II (Programme Interreg IIIB MEDOCC), aimed at the definition of an integrated network for real time monitoring of drought, the development of common methodologies for drought analysis and forecasting, as well as the definition of proper mitigation strategies for the Mediterranean countries.The book presents the main outcomes of such projects with a special focus on: drought monitoring and forecasting echniques at different spatial scales; new or modified agrometeorological indices and remote sensing technique for drought identification and characterization; tools to improve surface water resources management under drought conditions; methods and tools for groundwater resources monitoring and management, based on hydrogeological and hydrodynamics characteristics of aquifers; general criteria to select and implement mitigation strategies to prevent or minimize drought impacts.
Methods and Tools for Collaborative Networked Organizations
Provides a comprehensive set of reference materials derived from the results of the ECOLEAD project in one organized volume. The ECOLEAD project, a large 4-year European initiative, involved 28 organizations (from academia, research and industry), from 14 countries (in Europe and Latin America).Three main types of results from ECOLEAD are presented: (i) Conceptual frameworks and models, (ii) Methods and processes, and (iii) Software tools and systems.
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book. The NASA IV&V and the Institute for Scientific Research, Inc. are working to be at the forefront of software safety and assurance for neural network and adaptive systems.
Methods and Models in Transport and Telecommunications : Cross Atlantic Perspectives
One aspect of the new economy is a transition to a networked society, and the emergence of a highly interconnected, interdependent and complex system of networks to move people, goods and information. An example of this is the in creasing reliance of networked systems (e. g. , air transportation networks, electric power grid, maritime transport, etc. ) on telecommunications and information in frastructure. Many of the networks that evolved today have an added complexity in that they have both a spatial structure , they are located in physical space but also an a spatial dimension brought on largely by their dependence on infor mation technology. They are also often just one component of a larger system of geographically integrated and overlapping networks operating at different spatial levels. An understanding of these complexities is imperative for the design of plans and policies that can be used to optimize the efficiency, performance and safety of transportation, telecommunications and other networked systems. In one sense, technological advances along with economic forces that encourage the clustering of activities in space to reduce transaction costs have led to more efficient network structures.
Metalearning : Applications to Automated Machine Learning and Data Mining
This book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user.
Metaheuristic Procedures for Training Neural Networks
Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Apart from Chapter 1, which reviews classical training methods, the chapters are divided into three main categories. The first one is devoted to local search based methods, including Simulated Annealing, Tabu Search, and Variable Neighborhood Search.
Metabolome Analyses : Strategies for Systems Biology
Metabolome Analyses is intended as a follow-up to Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis (Kluwer, 2003). That text offered guidelines to currently available technology, bioinformatics and databases. Evidence was presented showing metabolic profiling as a valuable addition to genomics and proteomics strategies devoted to drug discovery and development. This book focuses on how metabolic profiling is being more comprehensively integrated with the other "omics" technologies. It provides more practical applications of such "panomics" or "Systems Biology" approaches. The expanding use of mass spectrometry as a measurement technology in metabolic profiling is addressed through demonstrated applications. The integration of metabolic profiling and proteomics is probably most developed for plant-based studies, which was not addressed in Volume 1. Other areas related to metabolic profiling continue to show significant development. These include database strategies and an increased acceptance by the pharmaceutical industry of metabolic profiling. Also covered is the use of in silico metabolic networks. Again the focus is primarily on the pharmaceutical industry but the importance of metabolic profiling to studies on human nutrition (a burgeoning area) is discussed.
Media resistance : Protest, dislike, abstention
his book is about those who dislike, protest, and try to abstain from media, both new and old. It explains why media resistance persists and answers two questions: What is at stake for resisters and how does media resistance inspire organized action? Yet, despite the interest in media scepticism and dislike, there seems to be no book on the market discussing media resistance as a phenomenon in its own right. This book explores resistance across media, historical periods and national borders, from early mass media to current digital media. Drawing on cases and examples from the US, Britain, Scandinavia and other countries, media resistance is discussed as a diverse phenomenon encompassing political, professional, networked and individual arguments and actions.
Mechanisms, Symbols, and Models Underlying Cognition ; 1st International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings, Part I
Constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005. This two-volume set contains papers that are related with the conceptual developments in the fields of Neurophysiology and cognitive science, and also to bioinspired programming strategies.
Measurement, Control, and Communication Using IEEE 1588
IEEE 1588, published in November 2002, is a technology new to the engineering community expanding the performance capabilities of Ethernet networks so that they become relevant for measurement and control; this monograph embodies the first unified treatment of the associated technology, standards and applications. Readers unfamiliar with IEEE 1588 will gain understanding of the context of the technology it represents and, from three chapters of case studies, its role in a variety of application settings.
MDATA : A New Knowledge Representation Model: Theory, Methods and Applications
This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal and spatial characteristics. The MDATA model can be regarded as a high-level temporal and spatial knowledge graph model, which has strong capabilities for knowledge representation. This book introduces some key technologies in the MDATA model, such as entity recognition, relation extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and this book introduces some typical examples, such as network attack detection, social network analysis, and epidemic assessment.
