Surveys the conceptual problems inherent in many neuroscientific theories. Encourages neuroscientists to pay more attention to conceptual questions. Provides conceptual maps for students and researchers in cognitive neuroscience and psychology. Written by a distinguished philosopher and leading neuroscientist. Avoids the use of philosophical jargon. Constitutes an essential reference work for elucidation of concepts in cognitive neuroscience and psychology.

    Sapolsky's storytelling concept is delightful but it also has a powerful intrinsic logic: he starts by looking at the factors that bear on a person's reaction in the precise moment a behavior occurs, and then hops back in time from there, in stages, ultimately ending up at the deep history of our species and its evolutionary legacy.And so the first category of explanation is the neurobiological one. A behavior occurs--whether an example of humans at our best, worst, or somewhere in between. What went on in a person's brain a second before the behavior happened? Then Sapolsky pulls out to a slightly larger field of vision, a little earlier in time: What sight, sound, or smell caused the nervous system to produce that behavior? And then, what hormones acted hours to days earlier to change how responsive that individual is to the stimuli that triggered the nervous system? By now he has increased our field of vision so that we are thinking about neurobiology and the sensory world of our environment and endocrinology in trying to explain what happened.Sapolsky keeps going: How was that behavior influenced by structural changes in the nervous system over the preceding months, by that person's adolescence, childhood, fetal life, and then back to his or her genetic makeup? Finally, he expands the view to encompass factors larger than one individual. How did culture shape that individual's group, what ecological factors millennia old formed that culture? And on and on, back to evolutionary factors millions of years old.The result is one of the most dazzling tours d'horizon of the science of human behavior ever attempted, a majestic synthesis that harvests cutting-edge research across a range of disciplines to provide a subtle and nuanced perspective on why we ultimately do the things we do...for good and for ill. Sapolsky builds on this understanding to wrestle with some of our deepest and thorniest questions relating to tribalism and xenophobia, hierarchy and competition, morality and free will, and war and peace. Wise, humane, often very funny, Behave is a towering achievement, powerfully humanizing, and downright heroic in its own right.

    It doesn't shy away from the full range of viewpoints or from the most controversial issues--from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    But what is the mind? What do we mean when we say we are "aware" of something? What is this peculiar state in our heads, at once utterly familiar and bewilderingly mysterious, that we call awareness or consciousness? In Physics in Mind, eminent biophysicist Werner R. Loewenstein argues that to answer these questions, we must first understand the physical mechanisms that underlie the workings of the mind. And so begins an exhilarating journey along the sensory data stream of the brain, which shows how our most complex organ processes the vast amounts of information coming in through our senses to create a coherent, meaningful picture of the world. Bringing information theory to bear on recent advances in the neurosciences, Loewenstein reveals a web of immense computational power inside the brain. He introduces the revolutionary idea that quantum mechanics could be fundamental to how our minds almost instantaneously deal with staggering amounts of information, as in the case of the information streaming through our eyes. Combining cutting-edge research in neuroscience and physics, Loewenstein presents an ambitious hypothesis about the parallel processing of sensory information that is the heart, hub, and pivot of the cognitive brain. Wide-ranging and brimming with insight, Physics in Mind breaks new ground in our understanding of how the mind works.

    Wright unveils the genetic strategies behind everything from our sexual preferences to our office politics--as well as their implications for our moral codes and public policies. Illustrations.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

    We rely on them every day of our lives. They make us who we are. And yet the truth is they are far from being the accurate record of the past we like to think they are. True, we can all admit to having suffered occasional memory lapses, such as entering a room and immediately forgetting why, or suddenly being unable to recall the name of someone we've met dozens of times. But what if our minds have the potential for more profound errors, that enable the manipulation or even outright fabrication of our memories?In The Memory Illusion, forensic psychologist and memory expert Dr Julia Shaw uses the latest research to show the astonishing variety of ways in which our brains can indeed be led astray. She shows why we can sometimes misappropriate other people's memories, subsequently believing them to be our own. She explains how police officers can imprison an innocent man for life on the basis of many denials and just one confession. She demonstrates the way radically false memories can be deliberately implanted, leading people to believe they had tea with Prince Charles, or committed crimes that never happened. And she reveals how, in spite of all this, we can improve our memory through simple awareness of its fallibility. Fascinating and unnerving in equal measure, The Memory Illusion offers a unique insight into the human brain, challenging you to question how much you can ever truly know about yourself.

    Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

    It is believed that we must commit 10,000 hours to master a skill.  According to Lieberman, each of us has spent 10,000 hours learning to make sense of people and groups by the time we are ten.  Social argues that our need to reach out to and connect with others is a primary driver behind our behavior.  We believe that pain and pleasure alone guide our actions.  Yet, new research using fMRI – including a great deal of original research conducted by Lieberman and his UCLA lab -- shows that our brains react to social pain and pleasure in much the same way as they do to physical pain and pleasure.  Fortunately, the brain has evolved sophisticated mechanisms for securing our place in the social world.  We have a unique ability to read other people’s minds, to figure out their hopes, fears, and motivations, allowing us to effectively coordinate our lives with one another.  And our most private sense of who we are is intimately linked to the important people and groups in our lives.  This wiring often leads us to restrain our selfish impulses for the greater good.  These mechanisms lead to behavior that might seem irrational, but is really just the result of our deep social wiring and necessary for our success as a species.   Based on the latest cutting edge research, the findings in Social have important real-world implications.  Our schools and businesses, for example, attempt to minimalize social distractions.  But this is exactly the wrong thing to do to encourage engagement and learning, and literally shuts down the social brain, leaving powerful neuro-cognitive resources untapped.  The insights revealed in this pioneering book suggest ways to improve learning in schools, make the workplace more productive, and improve our overall well-being.

    In The Ego Tunnel, philosopher Thomas Metzinger claims otherwise: No such thing as a self exists. The conscious self is the content of a model created by our brain—an internal image, but one we cannot experience as an image. Everything we experience is “a virtual self in a virtual reality.”But if the self is not “real,” why and how did it evolve? How does the brain construct it? Do we still have souls, free will, personal autonomy, or moral accountability? In a time when the science of cognition is becoming as controversial as evolution, The Ego Tunnel provides a stunningly original take on the mystery of the mind.

    The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible.

     Long treasured by literary readers for her uncommon ability to bridge the gap between art and science, celebrated scholar-artist Diane Ackerman returns with the book she was born to write. Her dazzling new work, An Alchemy of Mind, offers an unprecedented exploration and celebration of the mental fantasia in which we spend our days—and does for the human mind what the bestselling A Natural History of the Senses did for the physical senses. Bringing a valuable female perspective to the topic, Diane Ackerman discusses the science of the brain as only she can: with gorgeous, immediate language and imagery that paint an unusually lucid and vibrant picture for the reader. And in addition to explaining memory, thought, emotion, dreams, and language acquisition, she reports on the latest discoveries in neuroscience and addresses controversial subjects like the effects of trauma and male versus female brains. In prose that is not simply accessible but also beautiful and electric, Ackerman distills the hard, objective truths of science in order to yield vivid, heavily anecdotal explanations about a range of existential questions regarding consciousness, human thought, memory, and the nature of identity.

    But the very existence of consciousness raises profound questions: Why would any collection of matter in the universe be conscious? How are we able to think about this? And why should we?In this wonderfully accessible book, Annaka Harris guides us through the evolving definitions, philosophies, and scientific findings that probe our limited understanding of consciousness. Where does it reside, and what gives rise to it? Could it be an illusion, or a universal property of all matter? As we try to understand consciousness, we must grapple with how to define it and, in the age of artificial intelligence, who or what might possess it. Conscious offers lively and challenging arguments that alter our ideas about consciousness—allowing us to think freely about it for ourselves, if indeed we can.