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The Mind`s Machine, Watson, Neil V.; Breedlove, S. Marc


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Автор: Watson, Neil V.; Breedlove, S. Marc
Название:  The Mind`s Machine
ISBN: 9780197542811
Издательство: Oxford Academ
Классификация:

ISBN-10: 0197542816
Обложка/Формат: Paperback
Страницы: 624
Вес: 0.95 кг.
Дата издания: 44322
Язык: English
Издание: 4 revised edition
Размер: 155 x 235 x 18
Читательская аудитория: Undergraduate students in interdisciplinary Behavioral Neuroscience courses.
Основная тема: Neurology
Подзаголовок: Foundations of Brain and Behavior
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Teaching Moral Sex is the first comprehensive study of the role of religion in the history of public sex education in the United States from the late nineteenth century to the early twenty-first. Far from being a barrier to sex education, Kristy Slominski demonstrates, religion has been deeply embedded in the history of sex education, and its legacy has shaped the terms of current debates.


Cognitive Neuroscience of Natural Language Use

Автор: Willems Roel M
Название: Cognitive Neuroscience of Natural Language Use
ISBN: 1108402682 ISBN-13(EAN): 9781108402682
Издательство: Cambridge Academ
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Цена: 5069.00 р.
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Описание: Can we study the brain basis of language, as we use it in our daily lives? In this book, a range of international experts provide a state-of-the-art overview of current approaches to the cognitive neuroscience of natural language use.

Human Olfactory Displays and Interfaces: Odor Sensing and Presentation

Автор: Takamichi Nakamoto
Название: Human Olfactory Displays and Interfaces: Odor Sensing and Presentation
ISBN: 146662521X ISBN-13(EAN): 9781466625211
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Although good devices exist for presenting visual and auditory sensations, there has yet to be a device for presenting olfactory stimulus. Nevertheless, the area for smell presentation continues to evolve and smell presentation in multimedia is not unlikely in the future. This title provides the opportunity to learn about olfactory displays and its odour reproduction.

Early Detection of Neurological Disorders Using Machine Learning Systems

Автор: Paul Sudip, Bhattacharya Pallab, Bit Arindam
Название: Early Detection of Neurological Disorders Using Machine Learning Systems
ISBN: 1522585672 ISBN-13(EAN): 9781522585671
Издательство: Mare Nostrum (Eurospan)
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Цена: 38808.00 р.
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Описание: While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

Applied Software Development With Python And Machine Learning Involving Wearable And Wireless Systems For Movement Disorder Treatment Through Deep Brain Stimulation

Автор: Robert Lemoyne, Timothy Mastroianni
Название: Applied Software Development With Python And Machine Learning Involving Wearable And Wireless Systems For Movement Disorder Treatment Through Deep Brain Stimulation
ISBN: 9811235953 ISBN-13(EAN): 9789811235955
Издательство: World Scientific Publishing
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Цена: 12672.00 р.
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Описание:

The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.


Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed. A perspective of machine learning in terms of a conceptual basis and operational overview is provided. Subsequently, an assortment of machine learning algorithms is evaluated based on quantification of a reach and grasp task for essential tremor using a smartphone as a wearable and wireless accelerometer system.


Furthermore, these skills regarding the software development process and machine learning applications with wearable and wireless inertial sensor systems enable new and novel biomedical research only bounded by the reader's creativity.


Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach

Автор: Jain Shikha, Pandey Kavita, Jain Princi
Название: Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach
ISBN: 032391196X ISBN-13(EAN): 9780323911962
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание:

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health.

With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field.

Machine Learning

Автор: Mechelli, Andrea
Название: Machine Learning
ISBN: 0128157399 ISBN-13(EAN): 9780128157398
Издательство: Elsevier Science
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Цена: 26444.00 р.
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Описание:

Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date overview of how these methods can be applied to brain disorders, including both psychiatric and neurological disease. This book is written for a non-technical audience, such as neuroscientists, psychologists, psychiatrists, neurologists and health care practitioners.

Machine Dreaming and Consciousness

Автор: Pagel, J. F.
Название: Machine Dreaming and Consciousness
ISBN: 0128037202 ISBN-13(EAN): 9780128037201
Издательство: Elsevier Science
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Цена: 7915.00 р.
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Описание:

Machine Dreaming and Consciousness is the first book to discuss the questions raised by the advent of machine dreaming. Artificial intelligence (AI) systems meeting criteria of primary and self-reflexive consciousness are often utilized to extend the human interface, creating waking experiences that resemble the human dream. Surprisingly, AI systems also easily meet all human-based operational criteria for dreaming. These "dreams" are far different from anthropomorphic dreaming, including such processes as fuzzy logic, liquid illogic, and integration instability, all processes that may be necessary in both biologic and artificial systems to extend creative capacity.

Today, multi-linear AI systems are being built to resemble the structural framework of the human central nervous system. The creation of the biologic framework of dreaming (emotions, associative memories, and visual imagery) is well within our technical capacity. AI dreams potentially portend the further development of consciousness in these systems. This focus on AI dreaming raises even larger questions. In many ways, dreaming defines our humanity. What is humanly special about the states of dreaming? And what are we losing when we limit our focus to its technical and biologic structure, and extend the capacity for dreaming into our artificial creations? Machine Dreaming and Consciousness provides thorough discussion of these issues for neuroscientists and other researchers investigating consciousness and cognition.


  • Addresses the function and role of dream-like processing in AI systems
  • Describes the functions of dreaming in the creative process of both humans and machines
  • Presents an alternative approach to the philosophy of machine consciousness
  • Provides thorough discussion of machine dreaming and consciousness for neuroscientists and other researchers investigating consciousness and cognition
Human and Machine Vision

Автор: Virginio Cantoni
Название: Human and Machine Vision
ISBN: 0306449021 ISBN-13(EAN): 9780306449024
Издательство: Springer
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Цена: 34799.00 р.
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Machine Learning in Clinical Neuroscience: Foundations and Clinical Applications

Автор: Staartjes Victor E., Regli Luca, Serra Carlo
Название: Machine Learning in Clinical Neuroscience: Foundations and Clinical Applications
ISBN: 3030852911 ISBN-13(EAN): 9783030852917
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.

Music and the Mind Machine

Автор: Reinhard Steinberg
Название: Music and the Mind Machine
ISBN: 3540585281 ISBN-13(EAN): 9783540585282
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This includes the developing and adult brain, neurological and psychiatric diseases as well as the battery of the most recent development in brain imaging techniques.This book offers an excellent introduction to new scientific efforts in understanding both neuronal and psychic mechanisms when listening to or performing music.

Human and Machine Perception

Автор: Virginio Cantoni; Vito di Ges?; Alessandra Setti;
Название: Human and Machine Perception
ISBN: 146137734X ISBN-13(EAN): 9781461377344
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Proceedings of the Second International Workshop held in Trabia, Italy, July 21-25, 1996

Human and Machine Vision

Автор: Virginio Cantoni
Название: Human and Machine Vision
ISBN: 1489910069 ISBN-13(EAN): 9781489910066
Издательство: Springer
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Цена: 27950.00 р.
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Описание: The following are the proceedings of the Third International Workshop on Perception held in Pavia, Italy, on September 27-30, 1993, under the auspices of four institutions: the Group of Cybernetic and Biophysics (GNCB)s of the National Research Council (CNR), the Italian Association for Artificial Intelligence (AI * IA), the Italian Association of Psychology (AlP), and the Italian Chapter of the International Association for Pattern Recognition (IAPR). The theme of this third workshop was: "Human and Machine Vision: Analogies and Divergencies." A wide spectrum of topics was covered, ranging from neurophysiology, to computer architecture, to psychology, to image understanding, etc. For this reason the structure of this workshop was quite different from those of the first two held in Parma (1991), and Trieste (1992). This time the workshop was composed of just eight modules, each one consisting of two invited lectures (dealing with vision in nature and machines, respectively) and a common panel discussion (including the two lecturers and three invited panellists).


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