Brains, Machines, and Mathematics

Brains, Machines, and Mathematics

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  • Author: Michael A. Arbib
  • Publisher: Springer Science & Business Media
  • ISBN: 1461247829
  • Category : Computers
  • Languages : en
  • Pages : 215

This is a book whose time has come-again. The first edition (published by McGraw-Hill in 1964) was written in 1962, and it celebrated a number of approaches to developing an automata theory that could provide insights into the processing of information in brainlike machines, making it accessible to readers with no more than a college freshman's knowledge of mathematics. The book introduced many readers to aspects of cybernetics-the study of computation and control in animal and machine. But by the mid-1960s, many workers abandoned the integrated study of brains and machines to pursue artificial intelligence (AI) as an end in itself-the programming of computers to exhibit some aspects of human intelligence, but with the emphasis on achieving some benchmark of performance rather than on capturing the mechanisms by which humans were themselves intelligent. Some workers tried to use concepts from AI to model human cognition using computer programs, but were so dominated by the metaphor "the mind is a computer" that many argued that the mind must share with the computers of the 1960s the property of being serial, of executing a series of operations one at a time. As the 1960s became the 1970s, this trend continued. Meanwhile, experi mental neuroscience saw an exploration of new data on the anatomy and physiology of neural circuitry, but little of this research placed these circuits in the context of overall behavior, and little was informed by theoretical con cepts beyond feedback mechanisms and feature detectors.


Brains, Machines and Mathematics

Brains, Machines and Mathematics

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  • Author: Michael Anthony Arbib
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 0


Mathematics for Machine Learning

Mathematics for Machine Learning

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  • Author: Marc Peter Deisenroth
  • Publisher: Cambridge University Press
  • ISBN: 1108569323
  • Category : Computers
  • Languages : en
  • Pages : 392

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.


The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks

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  • Author: Michael A. Arbib
  • Publisher: MIT Press
  • ISBN: 0262011972
  • Category : Neural circuitry
  • Languages : en
  • Pages : 1328

This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).


The Emperor's New Mind

The Emperor's New Mind

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  • Author: Roger Penrose
  • Publisher: Oxford Paperbacks
  • ISBN: 0192861980
  • Category : Computers
  • Languages : en
  • Pages : 634

Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever approach the intricacy of the human mind. 144 illustrations.


The Computer and the Brain

The Computer and the Brain

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  • Author: John Von Neumann
  • Publisher: Yale University Press
  • ISBN: 9780300084733
  • Category : Computers
  • Languages : en
  • Pages : 116

This book represents the views of one of the greatest mathematicians of the twentieth century on the analogies between computing machines and the living human brain. John von Neumann concludes that the brain operates in part digitally, in part analogically, but uses a peculiar statistical language unlike that employed in the operation of man-made computers. This edition includes a new foreword by two eminent figures in the fields of philosophy, neuroscience, and consciousness.


Beyond Zero and One

Beyond Zero and One

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  • Author: Andrew Smart
  • Publisher: OR Books
  • ISBN: 1682190072
  • Category : Computers
  • Languages : en
  • Pages : 270

“Andrew Smart deftly shows why it’s time for us to think deeply about thinking machines before they begin thinking deeply about us.” —Douglas Rushkoff, author, Escaping the Growth Trap,Present Shock, and Program or Be Programmed “Provocative and cool.” —Cory Doctorow “Forget the Turing test—will the supersmart AIs that we hear so much about these days pass the acid test? In this playful, informative, and prescient book, Andrew Smart brings psychedelics into dialogue with neuroscience in order to challenge the whiz-bang computational views of human and machine sentience that dominate the headlines. Giving robots LSD sounds like a joke, but Smart is dead serious in his critique of the hidden and sometimes dangerous biases that underlie both popular and scientific fantasies of digital minds.” —Erik Davis, host of “Expanding Mind” and author, Techgnosis: Myth, Magic, and Mysticism in the Age of Information “Philosophy, psychedelics, robots, and the future; consciousness and intelligence, what else do you desire? Here you will see why those machines that reach singularity will be smarter than us and take over the world—and shall need to be conscious…and maybe they can only be conscious if they are human enough. The thesis of the book, and the path shown us by Smart, leads to a great trip, of imagination and philosophy, of maths and neuroscience.” —Dr. Tristan Bekinschtein, Lecturer, Department of Psychology, University of Cambridge Can we build a robot that trips on acid? This is not a frivolous question, according to neuroscientist Andrew Smart. If we can’t, he argues, we haven’t really created artificial intelligence. In an exposition reminiscent of crossover works such as Gödel, Escher, Bach and Fermat’s Last Theorem, Andrew Smart weaves together Mangarevan binary numbers, the discovery of LSD, Leibniz, computer programming, and much more to connect the vast but largely forgotten world of psychedelic research with the resurgent field of AI and the attempt to build conscious robots. A book that draws on the history of mathematics, philosophy, and digital technology, Beyond Zero and One challenges fundamental assumptions underlying artificial intelligence. Is the human brain based on computation? Can information alone explain human consciousness and intelligence? Smart convincingly makes the case that true intelligence, and artificial intelligence, requires an appreciation of what is beyond the computational.


Your Brain Is a Time Machine: The Neuroscience and Physics of Time

Your Brain Is a Time Machine: The Neuroscience and Physics of Time

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  • Author: Dean Buonomano
  • Publisher: W. W. Norton & Company
  • ISBN: 0393247953
  • Category : Science
  • Languages : en
  • Pages : 357

"Beautifully written, eloquently reasoned…Mr. Buonomano takes us off and running on an edifying scientific journey." —Carol Tavris, Wall Street Journal In Your Brain Is a Time Machine, leading neuroscientist Dean Buonomano embarks on an "immensely engaging" exploration of how time works inside the brain (Barbara Kiser, Nature). The human brain, he argues, is a complex system that not only tells time, but creates it; it constructs our sense of chronological movement and enables "mental time travel"—simulations of future and past events. These functions are essential not only to our daily lives but to the evolution of the human race: without the ability to anticipate the future, mankind would never have crafted tools or invented agriculture. This virtuosic work of popular science will lead you to a revelation as strange as it is true: your brain is, at its core, a time machine.


How Brains Make Up Their Minds

How Brains Make Up Their Minds

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  • Author: Walter J. Freeman
  • Publisher: Columbia University Press
  • ISBN: 9780231120081
  • Category : Medical
  • Languages : en
  • Pages : 190

I think, therefore I am. The legendary pronouncement of philosopher René Descartes lingers as accepted wisdom in the Western world nearly four centuries after its author's death. But does thought really come first? Who actually runs the show: we, our thoughts, or the neurons firing within our brains? Walter J. Freeman explores how we control our behavior and make sense of the world around us. Avoiding determinism both in sociobiology, which proposes that persons' genes control their brains' functioning, and in neuroscience, which posits that their brains' disposition is molded by chemistry and environmental forces, Freeman charts a new course--one that gives individuals due credit and responsibility for their actions. Drawing upon his five decades of research in neuroscience, Freeman utilizes the latest advances in his field as well as perspectives from disciplines as diverse as mathematics, psychology, and philosophy to explicate how different human brains act in their chosen diverse ways. He clarifies the implications of brain imaging, by which neural activity can be observed during the course of normal movements, and shows how nonlinear dynamics reveals order within the fecund chaos of brain function.


Language, Music, and the Brain

Language, Music, and the Brain

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  • Author: Michael A. Arbib
  • Publisher: MIT Press
  • ISBN: 0262018101
  • Category : Science
  • Languages : en
  • Pages : 677

A presentation of music and language within an integrative, embodied perspective of brain mechanisms for action, emotion, and social coordination. This book explores the relationships between language, music, and the brain by pursuing four key themes and the crosstalk among them: song and dance as a bridge between music and language; multiple levels of structure from brain to behavior to culture; the semantics of internal and external worlds and the role of emotion; and the evolution and development of language. The book offers specially commissioned expositions of current research accessible both to experts across disciplines and to non-experts. These chapters provide the background for reports by groups of specialists that chart current controversies and future directions of research on each theme. The book looks beyond mere auditory experience, probing the embodiment that links speech to gesture and music to dance. The study of the brains of monkeys and songbirds illuminates hypotheses on the evolution of brain mechanisms that support music and language, while the study of infants calibrates the developmental timetable of their capacities. The result is a unique book that will interest any reader seeking to learn more about language or music and will appeal especially to readers intrigued by the relationships of language and music with each other and with the brain. Contributors Francisco Aboitiz, Michael A. Arbib, Annabel J. Cohen, Ian Cross, Peter Ford Dominey, W. Tecumseh Fitch, Leonardo Fogassi, Jonathan Fritz, Thomas Fritz, Peter Hagoort, John Halle, Henkjan Honing, Atsushi Iriki, Petr Janata, Erich Jarvis, Stefan Koelsch, Gina Kuperberg, D. Robert Ladd, Fred Lerdahl, Stephen C. Levinson, Jerome Lewis, Katja Liebal, Jônatas Manzolli, Bjorn Merker, Lawrence M. Parsons, Aniruddh D. Patel, Isabelle Peretz, David Poeppel, Josef P. Rauschecker, Nikki Rickard, Klaus Scherer, Gottfried Schlaug, Uwe Seifert, Mark Steedman, Dietrich Stout, Francesca Stregapede, Sharon Thompson-Schill, Laurel Trainor, Sandra E. Trehub, Paul Verschure