Автор: Hiesinger Peter Robin Название: The Self-Assembling Brain: How Neural Networks Grow Smarter ISBN: 0691181225 ISBN-13(EAN): 9780691181226 Издательство: Wiley Рейтинг: Цена: 36960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
What neurobiology and artificial intelligence tell us about how the brain builds itself
How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain development--and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of "grown" networks? Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts. Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter.
Автор: Concha Bielza, Pedro Larranaga Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models ISBN: 110849370X ISBN-13(EAN): 9781108493703 Издательство: Cambridge Academ Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
Название: Computational Social Psychology ISBN: 1138951641 ISBN-13(EAN): 9781138951648 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to implemented and test models of processes using the power of high speed computing technology and sophisticated software.
Название: Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications ISBN: 113888281X ISBN-13(EAN): 9781138882812 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The world is witnessing the rapid evolution of its own nervous system by an unparalleled growth in communication technology. Like the evolution of the nervous systems in animals, this growth is being driven by a survival-of-the-fittest-mechanism. In telecommunications, the entities that fuel this growth are companies and nations who compete with each other. Companies with superior information systems can outrun and outsmart others because they serve their customers better. On the threshold of an explosion in the variety, speed and usefulness of telecommunication networks, neural network researchers can make important contributions to this emerging new telecommunications infrastructure. The first International Workshop on Applications of Neural Networks to Telecommunications (IWANNT) was planned in response to the telecommunications industry's needs for new adaptive technologies. This workshop featured 50 talks and posters that were selected by an organizing committee of experts in both telecommunications and neural networks. These proceedings will also be available on-line in an electronic format providing multimedia figures, cross-referencing, and annotation.
Автор: Black Nancy L., Neumann W. Patrick, Noy Ian Название: Proceedings of the 21st Congress of the International Ergonomics Association (Iea 2021): Volume V: Methods & Approaches ISBN: 3030746135 ISBN-13(EAN): 9783030746131 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), held online on June 13-18, 2021. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including engineering, design, robotics, healthcare, management, computer science, human biology and behavioral science, it provides researchers and practitioners alike with a comprehensive, timely guide on human factors and ergonomics. It also offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting the health, safety and wellbeing of individuals. The proceedings include papers from researchers and practitioners, scientists and physicians, institutional leaders, managers and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains and productive sectors. This volume includes papers addressing the following topics: Working with Computer Systems, Human Modelling and Simulation, Neuroergonomics, Biomechanics, Affective Design, Anthropometry, Advanced Imaging.
Автор: Cohen, Gillian Название: Exploring Cognition: Damaged Brains and Neural Networks ISBN: 1841692174 ISBN-13(EAN): 9781841692173 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Нет в наличии.
Автор: Westermann Gert Et Al Название: Integrating Computation And Cognition - Proceedings Of The 14Th Neural Computation And Psychology Workshop ISBN: 9814699330 ISBN-13(EAN): 9789814699334 Издательство: World Scientific Publishing Цена: 136230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents peer-reviewed versions of papers presented at the 14th Neural Computation and Psychology Workshop (NCPW14), which took place in July 2014 at Lancaster University, UK.
Автор: Yu, Francis T.s. (pennsylvania State University, University Park, Usa) Yu, Edward H. Yu, Ann G. Название: Art of learning ISBN: 0815361297 ISBN-13(EAN): 9780815361299 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural network learning are discussed. Additionally, the author discusses neural plasticity and adaptability in smarter neural networks.
Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three of four different pitch-classes, a wildly different interpretation of the components of tonal music.
Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition.
Название: Computational social psychology ISBN: 113895165X ISBN-13(EAN): 9781138951655 Издательство: Taylor&Francis Рейтинг: Цена: 54090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to implemented and test models of processes using the power of high speed computing technology and sophisticated software.
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