The Self-Assembling Brain
The Self-Assembling Brain

Author: Peter Robin Hiesinger

Publisher: Princeton University Press

Published: 2022-12-13

Total Pages: 384

ISBN-13: 0691241694

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"In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--

The Self-Assembling Brain
The Self-Assembling Brain

Author: Peter Robin Hiesinger

Publisher: Princeton University Press

Published: 2021-05-04

Total Pages: 382

ISBN-13: 0691181225

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"In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--

The Self-Assembling Brain
The Self-Assembling Brain

Author: Peter Robin Hiesinger

Publisher: Princeton University Press

Published: 2021-05-04

Total Pages: 384

ISBN-13: 0691215510

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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.

How to Build a Brain
How to Build a Brain

Author: Chris Eliasmith

Publisher: Oxford University Press

Published: 2013-04-16

Total Pages: 475

ISBN-13: 0199794693

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How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.

Artificial Life IV
Artificial Life IV

Author: Rodney Allen Brooks

Publisher: MIT Press

Published: 1994

Total Pages: 462

ISBN-13: 9780262521901

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This book brings together contributions to the Fourth Artificial Life Workshop, held at the Massachusetts Institute of Technology in the summer of 1994.

Conscious Mind, Resonant Brain
Conscious Mind, Resonant Brain

Author: Stephen Grossberg

Publisher: Oxford University Press

Published: 2021

Total Pages: 771

ISBN-13: 0190070552

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How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities.

The Paradoxical Brain
The Paradoxical Brain

Author: Narinder Kapur

Publisher: Cambridge University Press

Published: 2011-07-21

Total Pages: 489

ISBN-13: 1139495798

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The Paradoxical Brain focuses on a range of phenomena in clinical and cognitive neuroscience that are counterintuitive and go against the grain of established thinking. The book covers a wide range of topics by leading researchers, including: • Superior performance after brain lesions or sensory loss • Return to normal function after a second brain lesion in neurological conditions • Paradoxical phenomena associated with human development • Examples where having one disease appears to prevent the occurrence of another disease • Situations where drugs with adverse effects on brain functioning may have beneficial effects in certain situations A better understanding of these interactions will lead to a better understanding of brain function and to the introduction of new therapeutic strategies. The book will be of interest to those working at the interface of brain and behaviour, including neuropsychologists, neurologists, psychiatrists and neuroscientists.

The Spike
The Spike

Author: Mark Humphries

Publisher: Princeton University Press

Published: 2021-03-09

Total Pages: 232

ISBN-13: 0691213518

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The story of a neural impulse and what it reveals about how our brains work We see the last cookie in the box and think, can I take that? We reach a hand out. In the 2.1 seconds that this impulse travels through our brain, billions of neurons communicate with one another, sending blips of voltage through our sensory and motor regions. Neuroscientists call these blips “spikes.” Spikes enable us to do everything: talk, eat, run, see, plan, and decide. In The Spike, Mark Humphries takes readers on the epic journey of a spike through a single, brief reaction. In vivid language, Humphries tells the story of what happens in our brain, what we know about spikes, and what we still have left to understand about them. Drawing on decades of research in neuroscience, Humphries explores how spikes are born, how they are transmitted, and how they lead us to action. He dives into previously unanswered mysteries: Why are most neurons silent? What causes neurons to fire spikes spontaneously, without input from other neurons or the outside world? Why do most spikes fail to reach any destination? Humphries presents a new vision of the brain, one where fundamental computations are carried out by spontaneous spikes that predict what will happen in the world, helping us to perceive, decide, and react quickly enough for our survival. Traversing neuroscience’s expansive terrain, The Spike follows a single electrical response to illuminate how our extraordinary brains work.

Mindsight
Mindsight

Author: Daniel J. Siegel, MD

Publisher: Bantam

Published: 2010-01-12

Total Pages: 338

ISBN-13: 0553907107

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From a pioneer in the field of mental health comes a groundbreaking book on the healing power of "mindsight," the potent skill that allows you to make positive changes in your brain–and in your life. Foreword by Daniel Goleman, author of Emotional Intelligence • Is there a memory that torments you, or an irrational fear you can't shake? • Do you sometimes become unreasonably angry or upset and find it hard to calm down? • Do you ever wonder why you can't stop behaving the way you do, no matter how hard you try? • Are you and your child (or parent, partner, or boss) locked in a seemingly inevitable pattern of conflict? What if you could escape traps like these and live a fuller, richer, happier life? This isn't mere speculation but the result of twenty-five years of careful hands-on clinical work by Daniel J. Siegel, M.D. A Harvard-trained physician, Dr. Siegel is one of the revolutionary global innovators in the integration of brain science into the practice of psychotherapy. Using case histories from his practice, he shows how, by following the proper steps, nearly everyone can learn how to focus their attention on the internal world of the mind in a way that will literally change the wiring and architecture of their brain. Through his synthesis of a broad range of scientific research with applications to everyday life, Dr. Siegel has developed novel approaches that have helped hundreds of patients. And now he has written the first book that will help all of us understand the potential we have to create our own lives. Showing us mindsight in action, Dr. Siegel describes • a sixteen-year-old boy with bipolar disorder who uses meditation and other techniques instead of drugs to calm the emotional storms that made him suicidal • a woman paralyzed by anxiety, who uses mindsight to discover, in an unconscious memory of a childhood accident, the source of her dread • a physician–the author himself–who pays attention to his intuition, which he experiences as a "vague, uneasy feeling in my belly, a gnawing restlessness in my heart and my gut," and tracks down a patient who could have gone deaf because of an inaccurately written prescription for an ear infection • a twelve-year-old girl with OCD who learns a meditation that is "like watching myself from outside myself" and, using a form of internal dialogue, is able to stop the compulsive behaviors that have been tormenting her These and many other extraordinary stories illustrate how mindsight can help us master our emotions, heal our relationships, and reach our fullest potential.

The Feeling of Life Itself
The Feeling of Life Itself

Author: Christof Koch

Publisher: MIT Press

Published: 2019-09-24

Total Pages: 277

ISBN-13: 0262042819

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A thought-provoking argument that consciousness—more widespread than previously assumed—is the feeling of being alive, not a type of computation or a clever hack In The Feeling of Life Itself, Christof Koch offers a straightforward definition of consciousness as any subjective experience, from the most mundane to the most exalted—the feeling of being alive. Psychologists study which cognitive operations underpin a given conscious perception. Neuroscientists track the neural correlates of consciousness in the brain, the organ of the mind. But why the brain and not, say, the liver? How can the brain—three pounds of highly excitable matter, a piece of furniture in the universe, subject to the same laws of physics as any other piece—give rise to subjective experience? Koch argues that what is needed to answer these questions is a quantitative theory that starts with experience and proceeds to the brain. In The Feeling of Life Itself, Koch outlines such a theory, based on integrated information. Koch describes how the theory explains many facts about the neurology of consciousness and how it has been used to build a clinically useful consciousness meter. The theory predicts that many, and perhaps all, animals experience the sights and sounds of life; consciousness is much more widespread than conventionally assumed. Contrary to received wisdom, however, Koch argues that programmable computers will not have consciousness. Even a perfect software model of the brain is not conscious. Its simulation is fake consciousness. Consciousness is not a special type of computation—it is not a clever hack. Consciousness is about being.