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Computational Neuroscience, Vin?cius Rosa Cota; Dante Augusto Couto Barone; Di


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Автор: Vin?cius Rosa Cota; Dante Augusto Couto Barone; Di
Название:  Computational Neuroscience
ISBN: 9783030366353
Издательство: Springer
Классификация:



ISBN-10: 3030366359
Обложка/Формат: Soft cover
Страницы: 284
Вес: 0.46 кг.
Дата издания: 2019
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 117 illustrations, color; 20 illustrations, black and white; xiii, 284 p. 137 illus., 117 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Second Latin American Workshop, LAWCN 2019, S?o Jo?o Del-Rei, Brazil, September 18–20, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in S?o Jo?o Del-Rei, Brazil, in September 2019.The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction.
Дополнительное описание: Artificial Intelligence, Machine Learning, and Related Topics.- Application of machine learning approaches to identify new anticonvulsant compounds active in the 6 Hz seizure model.- Motor Learning and Machine Learning: predicting the amount of sessions t



Computational Neuroscience

Автор: Hanspeter A Mallot
Название: Computational Neuroscience
ISBN: 3319033069 ISBN-13(EAN): 9783319033068
Издательство: Springer
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Цена: 8487.00 р.
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Описание: This introduction to computational neuroscience equips readers with a solid understanding of techniques for modeling the nervous system at the membrane, cellular and network level. Covers membrane biophysics, systems theory and artificial neural networks.

Computational Models for Neuroscience

Автор: Robert Hecht-Nielsen; Thomas McKenna
Название: Computational Models for Neuroscience
ISBN: 1447111117 ISBN-13(EAN): 9781447111115
Издательство: Springer
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Цена: 18284.00 р.
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Описание: At this epoch, neuroscience is like a huge collection of small, jagged, jigsaw puz- zle pieces piled in a mound in a large warehouse (with neuroscientists going in and tossing more pieces onto the mound every month).

Computational and Cognitive Neuroscience of Vision

Автор: Zhao
Название: Computational and Cognitive Neuroscience of Vision
ISBN: 9811002118 ISBN-13(EAN): 9789811002113
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.

Computational Neuroscience

Автор: Dante Augusto Couto Barone; Eduardo Oliveira Teles
Название: Computational Neuroscience
ISBN: 3319710109 ISBN-13(EAN): 9783319710105
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the First International Workshop of Computational Neuroscience, held in Porto Allegre, Brazil, in November 2017.The 12 full papers and 3 short papers presented have been thoroughly reviewed andselected from 40 submissions.

Nonlinear Dynamics in Computational Neuroscience

Автор: Fernando Corinto; Alessandro Torcini
Название: Nonlinear Dynamics in Computational Neuroscience
ISBN: 303010009X ISBN-13(EAN): 9783030100094
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015.

Militarized Conflict Modeling Using Computational Intelligence

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Applied computational intelligence and soft computing in engineering /

Автор: Saifullah Khalid
Название: Applied computational intelligence and soft computing in engineering /
ISBN: 1522531297 ISBN-13(EAN): 9781522531296
Издательство: Turpin
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Цена: 37884.00 р.
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Описание: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

Artificial intelligence for computational modeling of the heart

Автор: Mansi, Tommaso Passerini, Tiziano
Название: Artificial intelligence for computational modeling of the heart
ISBN: 012817594X ISBN-13(EAN): 9780128175941
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.

  • Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications
  • Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data
  • Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation

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