Published July, 2020
By Ruth Leys
Publisher: Cambridge University Press
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Newborn imitation has recently become the focus of a major controversy in the human sciences. New studies have reexamined the evidence and found it wanting. This Element offers a critical assessment of the theories of newborn imitation and the stakes involved.

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Published July, 2020
By Mark P. Mattson, Grazyna Soderbom, Russell Esterline, Jan Oscarsson and Grazyna Soederbom
Publisher: Elsevier (Academic Press Inc)
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Published July, 2020
By Kathleen Taylor
Publisher: Oxford University Press
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Kathleen Taylor offers a clear guide to dementia, covering its history and its definition, different types and their symptoms, diagnosis and treatment, and the underlying science. She also explains why we still have no cure for dementia, and looks at current research which could soon change that.

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Published July, 2020
By Douglas W. Zochodne and Douglas W. W Zochodne
Publisher: Elsevier (Academic Press Inc)
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Availability: Contact supplier

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Published July, 2020
By Dr Helena Boschi and H Boschi
Publisher: John Wiley & Sons Ltd (John Wiley & Sons Inc)
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Published July, 2020
By Nick Chown, Anna Stenning and Hanna Rosqvist
Publisher: Taylor & Francis (Routledge)
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Building on work in feminist studies, queer studies and critical race theory, this volume challenges the universality of propositions about human nature, by questioning the boundaries between predominant neurotypes and 'others', including dyslexics, autistics and ADHDers.

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Published July, 2020
By Teodiano Freire Bastos-Filho and Teodiano Bastos-Filho
Publisher: Taylor & Francis (CRC Press)
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This book provides an overview about different applications of brain-computer interfaces (BCIs) based on the authors more than 20 years of research in the field.

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Published July, 2020
By Valentina E. Balas, Akash Kumar Bhoi, Pradeep Kumar Mallick and Chuan-Ming Liu
Publisher: Springer (Springer Verlag, Singapore)
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The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features.

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Published July, 2020
By Stephen Waxman
Publisher: McGraw-Hill (McGraw-Hill Education)
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Published July, 2020
By Godfrey Pearlson
Publisher: Elsevier (Academic Press Inc)
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Availability: Available

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