From sensations that probably began in bodily expression to the evolutionary advantages of a conscious self, 'Seeing Red' tracks the 'hard problem' of consciousness to its source and its solution, a solution in which, paradoxically, the very hardness of the problem may make all the difference.

    In clear, understandable language, Jourdian expertly guides the reader through a continuum of musical experience: sound, tone, melody, harmony, rhythm, composition, performance, listening, understanding—and finally to ecstasy. Along the way, a fascinating cast of characters brings Jourdian's narrative to vivid life: "idiots savants" who absorb whole pieces on a single hearing, composers who hallucinate entire compositions, a psychic who claims to take dictation from long-dead composers, and victims of brain damage who can move only when they hear music. Here is a book that will entertain, inform, and stimulate everyone who loves music—and make them think about their favorite song in startling new ways.

    Unfortunately, we can’t avoid the things that stress us out, but we can change how we respond to them. In this breakthrough book, a clinical psychologist and neuroscience expert offers an original approach to help readers harness the power of positive emotions and overcome stress for good.Stress is, unfortunately, a natural part of life—especially in our busy and hectic modern times. But you don’t have to let it get in the way of your health and happiness. Studies show that the key to coping with stress is simpler than you think—it’s all about how you respond to the situations and things that stress you out or threaten to overwhelm you. The Stress-Proof Brain offers powerful, comprehensive tools based in mindfulness, neuroscience, and positive psychology to help you put a stop to unhealthy responses to stress—such as avoidance, tunnel vision, negative thinking, self-criticism, fixed mindset, and fear. Instead, you’ll discover unique exercises that provide a recipe for resilience, empowering you to master your emotional responses, overcome negative thinking, and create a more tolerant, stress-proof brain.This book will help you develop an original and effective program for mastering your emotional brain’s response to stress by harnessing the power of neuroplasticity. By creating a more stress tolerant, resilient brain, you’ll learn to shrug off the small stuff, deal with the big stuff, and live a happier, healthier life.

    In Out of Our Heads, he restates and reexamines the problem of consciousness, and then proposes a startling solution: Do away with the two hundred-year-old paradigm that places consciousness within the confines of the brain. Our culture is obsessed with the brain—how it perceives; how it remembers; how it determines our intelligence, our morality, our likes and our dislikes. It’s widely believed that consciousness itself, that Holy Grail of science and philosophy, will soon be given a neural explanation. And yet, after decades of research, only one proposition about how the brain makes us conscious—how it gives rise to sensation, feeling, and subjectivity—has emerged unchallenged: We don’t have a clue. In this inventive work, Noë suggests that rather than being something that happens inside us, consciousness is something we do. Debunking an outmoded philosophy that holds the scientific study of consciousness captive, Out of Our Heads is a fresh attempt at understanding our minds and how we interact with the world around us.

    Some philosophers argue that consciousness is something extra, beyond the physical workings of the brain. Others think that if we persist in our standard scientific methods, our questions about consciousness will eventually be answered. And some even suggest that the mystery is so deep, it will never be solved. Decades have been spent trying to explain consciousness from within our current scientific paradigm, but little progress has been made.Now, Philip Goff offers an exciting alternative that could pave the way forward. Rooted in an analysis of the philosophical underpinnings of modern science and based on the early twentieth-century work of Arthur Eddington and Bertrand Russell, Goff makes the case for panpsychism, a theory which posits that consciousness is not confined to biological entities but is a fundamental feature of all physical matter--from subatomic particles to the human brain. In Galileo's Error, he has provided the first step on a new path to the final theory of human consciousness.

    Too often, overwhelmed by anatomical detail, students miss out on the functional beauty of the nervous system and its relevance to clinical practice.

      Along the way, he reveals the untold story of Hans Asperger, the father of Asperger’s syndrome, whose “little professors” were targeted by the darkest social-engineering experiment in human history; exposes the covert campaign by child psychiatrist Leo Kanner to suppress knowledge of the autism spectrum for fifty years; and casts light on the growing movement of "neurodiversity" activists seeking respect, support, technological innovation, accommodations in the workplace and in education, and the right to self-determination for those with cognitive differences.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Our brave new technologies offer incredible opportunities for work and play. But at what price?   Now renowned neuroscientist Susan Greenfield—known in the United Kingdom for challenging entrenched conventional views—brings together a range of scientific studies, news events, and cultural criticism to create an incisive snapshot of “the global now.” Disputing the assumption that our technologies are harmless tools, Greenfield explores whether incessant exposure to social media sites, search engines, and videogames is capable of rewiring our brains, and whether the minds of people born before and after the advent of the Internet differ.   Stressing the impact on Digital Natives—those who’ve never known a world without the Internet—Greenfield exposes how neuronal networking may be affected by unprecedented bombardments of audiovisual stimuli, how gaming can shape a chemical landscape in the brain similar to that in gambling addicts, how surfing the Net risks placing a premium on information rather than on deep knowledge and understanding, and how excessive use of social networking sites limits the maturation of empathy and identity.   But Mind Change also delves into the potential benefits of our digital lifestyle. Sifting through the cocktail of not only threat but opportunity these technologies afford, Greenfield explores how gaming enhances vision and motor control, how touch tablets aid students with developmental disabilities, and how political “clicktivism” foments positive change.   In a world where adults spend ten hours a day online, and where tablets are the common means by which children learn and play, Mind Change reveals as never before the complex physiological, social, and cultural ramifications of living in the digital age. A book that will be to the Internet what An Inconvenient Truth was to global warming, Mind Change is provocative, alarming, and a call to action to ensure a future in which technology fosters—not frustrates—deep thinking, creativity, and true fulfillment.

    Music, literature, and movies are filled with common folklore about love and millions of TV viewers tune in to shows like The Bachelor and read the latest relationship tome with one simple hope: to uncover some nugget of mystic wisdom that will help them understand the exciting, addictive, insane experience called 'love'.   Men Chase, Women Choose, is the first book to offer cutting-edge research that explains how the brain works when two people first meet, start to date, fall in love, and then move into long-term, real love. Maslar's unique approach brings together the latest and most relevant neurological, physiological, and biochemical research on the science of love while incorporating stories and examples of composite characters based on participants of her popular classes and seminars. She explains that 'love' is actually neural activity as well as the presence or absence of certain neurotransmitters that bathe the brain, and it follows a precisely timed path of four, easy-to-understand phases: the exciting norepinephrine-charged meeting phase; the addictive dopamine dating phase; the insane falling-in-love and losing your mind phase; and finally, the safe, warm and wonderful, true, long-term love phase. For the past decade Maslar has made it her mission to learn all she can about the science behind falling in love, including its evolutionary benefits. Her goal—and the purpose of this book—is to help men and women find and maintain love by understanding and applying the science behind it. The bottom line? We actually can have long-lasting, nourishing, exciting, passionate love with little or no risk!

    The "Theory of Everything" that appears to be emerging includes everything but us: the feelings, meanings, consciousness, and purposes that make us (and many of our animal cousins) what we are. These most immediate and incontrovertible phenomena are left unexplained by the natural sciences because they lack the physical properties—such as mass, momentum, charge, and location—that are assumed to be necessary for something to have physical consequences in the world. This is an unacceptable omission. We need a "theory of everything" that does not leave it absurd that we exist.Incomplete Nature begins by accepting what other theories try to deny: that, although mental contents do indeed lack these material-energetic properties, they are still entirely products of physical processes and have an unprecedented kind of causal power that is unlike anything that physics and chemistry alone have so far explained. Paradoxically, it is the intrinsic incompleteness of these semiotic and teleological phenomena that is the source of their unique form of physical influence in the world. Incomplete Nature meticulously traces the emergence of this special causal capacity from simple thermodynamics to self-organizing dynamics to living and mental dynamics, and it demonstrates how specific absences (or constraints) play the critical causal role in the organization of physical processes that generate these properties.The book's radically challenging conclusion is that we are made of these specific absenses—such stuff as dreams are made on—and that what is not immediately present can be as physically potent as that which is. It offers a figure/background shift that shows how even meanings and values can be understood as legitimate components of the physical world.

    In Rewire, renowned psychotherapist Richard O’Connor, PhD, reveals exactly why our bad habits die so hard. We have two brains—one a thoughtful, conscious, deliberative self, and the other an automatic self that makes most of our decisions without our attention. Using new research and knowledge about how the brain works, the book clears a path to lasting, effective change for behaviors that include:ProcrastinationOvereatingChronic disorganizationStaying in bad situationsExcessive worryingRisk takingPassive aggressionSelf-medicationBringing together many different fields in psychology and brain science, Dr. O’Connor gives you a road map to overcoming whatever self-destructive habits are plaguing you, with exercises throughout the book. We can rewire our brains to develop healthier circuitry, training the automatic self to make wiser decisions without having to think about it; ignore distractions; withstand temptations; see ourselves and the world more clearly; and interrupt our reflexive responses before they get us in trouble. Meanwhile, our conscious minds will be freed to view ourselves with compassion at the same time as we practice self-discipline. By learning valuable skills and habits—including mindfulness, self-control, confronting fear, and freeing yourself from mindless guilt—we can open ourselves to vastly more successful, productive, and happy lives. The book even demystifies how to overcome what Dr. O’Connor calls the “undertow” (the mysterious force that sabotages our best efforts when we’re just on the edge of victory) for long-lasting change. Offering a valuable science-based new paradigm for rewiring our brains, Rewire is a refreshing guide to becoming a healthier, happier self.

    In an era of increasing fears about mental deterioration, world-renowned neuropsychologist Elkhonon Goldberg provides startling new evidence that though the brain diminishes in some tasks as it ages, it gains in many ways. Most notably, it increases in what he terms "wisdom" the ability to draw upon knowledge and experience gained over a lifetime to make quick and effective decisions. Goldberg delves into the machinery of the mind, separating memory into two distinct types: singular (knowledge of a particular incident or fact) and generic (recognition of broader patterns). As the brain ages, the ability to use singular memory declines, but generic memory is unaffected--and its importance grows. As an individual accumulates generic memory, the brain can increasingly rely upon these stored patterns to solve problems effortlessly and instantaneously. Goldberg investigates the neurobiology of wisdom, and draws on historical examples of artists and leaders whose greatest achievements were realized late in life.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.