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1. |
Record Nr. |
UNISA996418212603316 |
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Titolo |
Computer Aided Systems Theory – EUROCAST 2019 [[electronic resource] ] : 17th International Conference, Las Palmas de Gran Canaria, Spain, February 17–22, 2019, Revised Selected Papers, Part II / / edited by Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (526 pages) : illustrations |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 12014 |
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Disciplina |
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Soggetti |
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Computer simulation |
Database management |
Computer networks |
Artificial intelligence |
Computer systems |
Computer Modelling |
Database Management System |
Computer Communication Networks |
Artificial Intelligence |
Computer System Implementation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Applications of Signal Processing Technology -- Artificial Intelligence and Data Mining for Intelligent Transportation Systems and Smart Mobility -- Computer Vision, Machine Learning for Image Analysis and Applications -- Computer and Systems Based Methods and Electronic Technologies in Medicine -- Advances in Biomedical Signal and Image Processing -- Systems Concepts and Methods in Touristic Flows -- Systems in Industrial Robotics, Automation and IoT. |
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Sommario/riassunto |
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The two-volume set LNCS 12013 and 12014 constitutes the thoroughly refereed proceedings of the 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, held in Las Palmas |
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de Gran Canaria, Spain, in February 2019. The 123 full papers presented were carefully reviewed and selected from 172 submissions. The papers are organized in the following topical sections: Part I: systems theory and applications; pioneers and landmarks in the development of information and communication technologies; stochastic models and applications to natural, social and technical systems; theory and applications of metaheuristic algorithms; model-based system design, verification and simulation. Part II: applications of signal processing technology; artificial intelligence and data mining for intelligent transportation systems and smart mobility; computer vision, machine learning for image analysis and applications; computer and systems based methods and electronic technologies in medicine; advances in biomedical signal and image processing; systems concepts and methods in touristic flows; systems in industrial robotics, automation and IoT. |
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2. |
Record Nr. |
UNINA9910299726003321 |
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Titolo |
Directed Information Measures in Neuroscience / / edited by Michael Wibral, Raul Vicente, Joseph T. Lizier |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XIV, 225 p. 51 illus., 8 illus. in color.) |
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Collana |
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Understanding Complex Systems, , 1860-0832 |
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Disciplina |
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Soggetti |
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Computational complexity |
Coding theory |
Information theory |
Biomedical engineering |
Complexity |
Coding and Information Theory |
Biomedical Engineering and Bioengineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Part I Introduction to Directed Information Measures -- Part II Information Transfer in Neural and Other Physiological Systems -- Part III Recent Advances in the Analysis of Information Processing. |
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Sommario/riassunto |
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Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. Directed Information Measures in Neuroscience reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Written by the most active researchers in the field the book discusses the state of the art, future prospects and challenges on the way to an efficient assessment of neuronal information transfer. Highlights include the theoretical quantification and practical estimation of information transfer, description of transfer locally in space and time, multivariate directed measures, information decomposition among a set of stimulus/responses variables, and the relation between interventional and observational causality. Applications to neural data sets and pointers to open source software highlight the usefulness of these measures in experimental neuroscience. With state-of-the-art mathematical developments, computational techniques, and applications to real data sets, this book will be of benefit to all graduate students and researchers interested in detecting and understanding the information transfer between components of complex systems. |
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