Brain Vs Machine
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Brain Mind Machinery
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Author : Gee Wah Ng
language : en
Publisher: World Scientific
Release Date : 2009
Brain Mind Machinery written by Gee Wah Ng and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
Brain-Mind Machinery provides a walkthrough to the world of brain-inspired computing and mind-related questions. Bringing together diverse viewpoints and expertise from multidisciplinary communities, the book explores the human quest to build a thinking machine with human-like capabilities. Readers will acquire a first-hand understanding of the brain and mind mechanisms and machineries, as well as how much we have progressed in and how far we are from building a truly general intelligent system like the human brain.
Your Brain Is A Time Machine
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Author : Dean Buonomano
language : en
Publisher: W. W. Norton & Company
Release Date : 2017-04-04
Your Brain Is A Time Machine written by Dean Buonomano and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-04 with Science categories.
"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.
The Computer And The Brain
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Author : John Von Neumann
language : en
Publisher: Yale University Press
Release Date : 2000-01-01
The Computer And The Brain written by John Von Neumann and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-01 with Computers categories.
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.
The Self Assembling Brain
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Author : Peter Robin Hiesinger
language : en
Publisher: Princeton University Press
Release Date : 2021-05-04
The Self Assembling Brain written by Peter Robin Hiesinger and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-04 with Computers categories.
"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 Singularity Is Near
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Author : Ray Kurzweil
language : en
Publisher: Penguin
Release Date : 2005-09-22
The Singularity Is Near written by Ray Kurzweil and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-22 with Social Science categories.
NEW YORK TIMES BESTSELLER • Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development. “Artfully envisions a breathtakingly better world.”—Los Angeles Times “Startling in scope and bravado.”—Janet Maslin, The New York Times “An important book.”—The Philadelphia Inquirer At the onset of the twenty-first century, humanity stands on the verge of the most transforming and thrilling period in its history. It will be an era in which the very nature of what it means to be human will be both enriched and challenged as our species breaks the shackles of its genetic legacy and achieves inconceivable heights of intelligence, material progress, and longevity. While the social and philosophical ramifications of these changes will be profound, and the threats they pose considerable, The Singularity Is Near presents a radical and optimistic view of the coming age that is both a dramatic culmination of centuries of technological ingenuity and a genuinely inspiring vision of our ultimate destiny.
Artificial Brain And Simulation
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Author : S. R. Jena
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-06-28
Artificial Brain And Simulation written by S. R. Jena and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.
The human brain remains the most explosive enigmatic and powerful computing system ever known. Its unmatched ability to learn, adapt, reason, and generate creativity continues to inspire scientists, engineers, and philosophers across generations. With the rise of Artificial Intelligence (AI), Neuroscience, and Neuromorphic Engineering, the question once relegated to the realm of science fiction — Can we build an artificial brain? — is now a legitimate and actively explored scientific frontier. This book, Artificial Brain and Simulation, is an earnest attempt to synthesize the diverse yet interrelated domains of cognitive science, machine learning, brain simulation, neuromorphic computing, and robotics into a cohesive academic framework. This work is not merely a speculative exploration of artificial cognition. Rather, it is grounded in current scientific developments, technological breakthroughs, and practical systems already demonstrating nascent forms of synthetic intelligence. From IBM Watson’s symbolic reasoning to the digital neurons firing inside Intel’s Loihi neuromorphic chip, from brain-computer interfaces used in prosthetics to AI-driven diagnosis of neurological disorders, the world is witnessing an unprecedented convergence of human cognition and machine computation. This convergence is shaping what we refer to as Artificial Brain Simulation. Why This Book? The goal of this book is to serve as a comprehensive guide and reference text for students, researchers, academicians, technologists, and policy makers. It captures the evolving narrative of brain-inspired computing, simulative cognition, and intelligent neural interfaces. Despite the proliferation of literature on AI and neuroscience individually, there exists a noticeable void where both disciplines intersect with engineering design — particularly in the design and simulation of artificial brains. This book addresses that void. It dives deep into the biological fundamentals of the human brain while simultaneously translating those concepts into machine-executable systems, neural network models, and cognitive architectures. It traces the history, evaluates the present, and speculates on the future of artificially simulating human thought, perception, memory, decision-making, emotion, and even consciousness. Target Audience This book is written with multiple tiers of readers in mind: Undergraduate and graduate students studying computer science, neuroscience, AI, robotics, cognitive science, or biomedical engineering. Researchers and Ph.D. candidates seeking deep insights into brain-inspired AI, computational neuroscience, and machine consciousness. Faculty and educators looking for a structured reference to design multidisciplinary courses involving AI and biological cognition. Industry professionals and startups working on neural interfaces, robotics, AR/VR, BCI, IoT, and intelligent automation. Futurists and philosophers of technology interested in the ethical, social, and psychological dimensions of synthetic minds. Book Structure and Flow The book is divided into 14 meticulously crafted chapters, each building upon the foundation laid by its predecessors: Chapter 1: Introduction To Artificial Brain This chapter defines what constitutes an artificial brain, outlines the motivation behind its development, and distinguishes it from general-purpose AI. It provides historical insights and visual representations comparing human brains with machine-based intelligence. Chapter 2: Neuroscience Overview To simulate the brain, one must first understand it. This chapter explains the structure, components, and processes of the human brain — including neurons, synapses, learning, memory, and cognition — all explained in computational terms. Chapter 3: Foundations of Artificial Intelligence This chapter transitions to core AI principles, introducing learning paradigms (supervised, unsupervised, reinforcement), deep learning, neural networks, and cognitive architectures like ACT-R and SOAR. Chapter 4: Neuromorphic Computing Neuromorphic systems mimic the behavior of neurons in silicon. This chapter details spiking neural networks, memristors, neuromorphic chips like Loihi and TrueNorth, and the integration of hardware with software. Chapter 5: Brain-Inspired Algorithms Here we discuss Hebbian learning, reinforcement learning loops, bio-inspired optimization methods (GA, PSO, ACO, BFO), and deep cognitive networks as scalable learning systems. Chapter 6: Brain Simulation Projects This chapter dives into real-world simulations like the Blue Brain Project, the Human Brain Project (HBP), OpenWorm, and Nengo — highlighting architectural details and outcomes. Chapter 7: Architecture of Artificial Brain Covering layer-wise simulation of perception, cognition, decision-making, and motor control, this chapter also introduces architectural block diagrams of artificial brains in modular format. Chapter 8: Cognitive Computing and Reasoning Explores AI capabilities in symbolic reasoning, language understanding, planning, perception, and the philosophical notion of self-awareness in synthetic systems. Chapter 9: Memory and Learning Systems It delves into memory models (short-term vs long-term), neural memory frameworks, lifelong learning, and transfer learning. Visual diagrams illustrate how memory evolves in artificial systems. Chapter 10: AI in Healthcare and Brain-Computer Interfaces (BCIs) The intersection of AI and neuroscience is most visible in neural prosthetics, AI for neurological disorders, and BCI-based medical interventions. This chapter includes real-time BCI system design. Chapter 11: Robotics and Autonomous Systems This chapter introduces cognitive robots, emotion-enabled machines, artificial empathy, and humanoid assistants that simulate real social interaction and decision-making. Chapter 12: Smart Systems and Embedded AI Explores deployment of cognitive systems in mobile chips, IoT platforms, smart surveillance, and AR/VR environments. It underscores the importance of real-time, low-power neural architectures. Chapter 13: Ethical, Philosophical Issues and Technological Challenges As artificial brains grow closer to consciousness, this chapter discusses machine rights, existential risks, interpretability, and the control mechanisms necessary to safeguard humanity. A speculative yet evidence-based chapter exploring machine consciousness, AI-human symbiosis, and the implications of uploading human minds into machines (mind uploading). Chapter 14: The Future of Artificial Brain A forward-looking chapter forecasting technological, cognitive, societal, and regulatory trends shaping the future of artificial brain systems. Unique Features of the Book Interdisciplinary Approach: Merges neuroscience, AI, robotics, cognitive science, ethics, and embedded computing. Detailed Diagrams: Over 100 hand-drawn and digitally illustrated diagrams explain complex systems in accessible formats. Comparison Tables: Comparative evaluations of architectures (e.g., ACT-R vs SOAR), chip designs (Loihi vs TrueNorth), and learning models. Recent Research Citations: Each chapter ends with a list of 30 IEEE-style references covering the most recent developments. Case Studies & Applications: Includes Neuralink, BrainGate, OpenWorm, HBP, and real-world BCI-enabled prosthetics. Ethical & Philosophical Lens: Goes beyond technology to address societal impact, machine rights, and AI regulation. The journey toward building an artificial brain is not merely technological—it is deeply philosophical, neuropsychological, and even spiritual. The idea that machines could one day think, feel, or possess some form of synthetic awareness requires us to redefine intelligence, personhood, and even life itself. This book encourages readers to question conventional boundaries and embrace a future that may include minds made of code, thoughts running through silicon, and humanity coexisting with a new cognitive species. We believe Artificial Brain and Simulation will serve as a bridge — connecting the brilliance of natural intelligence with the promise of artificial cognition. Whether you are a student, researcher, or simply a curious mind, we invite you to embark on this voyage where biology meets computation, neurons inspire algorithms, and thought itself is reimagined. We thank you for picking up this book — and we hope it will both inform and inspire you to shape the intelligent systems of tomorrow.
The Human Advantage
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Author : Suzana Herculano-Houzel
language : en
Publisher: MIT Press
Release Date : 2016-03-18
The Human Advantage written by Suzana Herculano-Houzel and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-18 with Science categories.
Why our human brains are awesome, and how we left our cousins, the great apes, behind: a tale of neurons and calories, and cooking. Humans are awesome. Our brains are gigantic, seven times larger than they should be for the size of our bodies. The human brain uses 25% of all the energy the body requires each day. And it became enormous in a very short amount of time in evolution, allowing us to leave our cousins, the great apes, behind. So the human brain is special, right? Wrong, according to Suzana Herculano-Houzel. Humans have developed cognitive abilities that outstrip those of all other animals, but not because we are evolutionary outliers. The human brain was not singled out to become amazing in its own exclusive way, and it never stopped being a primate brain. If we are not an exception to the rules of evolution, then what is the source of the human advantage? Herculano-Houzel shows that it is not the size of our brain that matters but the fact that we have more neurons in the cerebral cortex than any other animal, thanks to our ancestors' invention, some 1.5 million years ago, of a more efficient way to obtain calories: cooking. Because we are primates, ingesting more calories in less time made possible the rapid acquisition of a huge number of neurons in the still fairly small cerebral cortex—the part of the brain responsible for finding patterns, reasoning, developing technology, and passing it on through culture. Herculano-Houzel shows us how she came to these conclusions—making “brain soup” to determine the number of neurons in the brain, for example, and bringing animal brains in a suitcase through customs. The Human Advantage is an engaging and original look at how we became remarkable without ever being special.
Brain Vs Computer The Challenge Of The Century Is Now Launched Second Edition
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Author : Jean-pierre Fillard
language : en
Publisher: World Scientific
Release Date : 2020-11-11
Brain Vs Computer The Challenge Of The Century Is Now Launched Second Edition written by Jean-pierre Fillard and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-11 with Computers categories.
In this follow up to Brain vs Computer: The Challenge of the Century, Jean-Pierre Fillard brings together diverse perspectives to address the recurring theme of rivalry between man and machine.Accelerated by recent events such as the Covid-19 pandemic that caught the world by surprise and brought it to a standstill, the use of technology has become more relevant than ever. What new conclusions can we draw in this debate featuring humans (brain) on the one side, and artificial intelligence (computer) on the other? Featuring brand new content including a complementary perspective from the arts, the author balances the argument from the traditional scientific approach of logic, rationality, and computation with instinct, intuition, and emotion. Read together with his latest offerings Longevity in a 2.0 World and Transhumanism: A Realistic Future? this trilogy culminates in an attempt to answer one of the most exciting questions of our time.
How We Learn
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Author : Stanislas Dehaene
language : en
Publisher:
Release Date : 2020
How We Learn written by Stanislas Dehaene and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled and it remains the best source of inspiration for recent developments in artificial intelligence. In How We Learn, Stanislas Dehaene decodes the brain's biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but assures us that our abilities continue into adulthood and that we can enhance our learning and memory at any age. We can all learn to learn by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The exciting advancements in artificial intelligence of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities, as well as in everyday life.
On Intelligence
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Author : Jeff Hawkins
language : en
Publisher: Macmillan
Release Date : 2004-10-03
On Intelligence written by Jeff Hawkins and has been published by Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-03 with Business & Economics categories.
The inventor of the PalmPilot outlines a theory about the human brain's memory system that reveals new information about intelligence, perception, creativity, consciousness, and the human potential for creating intelligent computers.