In Self Comes to Mind, he goes against the long-standing idea that consciousness is somehow separate from the body, presenting compelling new scientific evidence that consciousness—what we think of as a mind with a self—is to begin with a biological process created by a living organism. Besides the three traditional perspectives used to study the mind (the introspective, the behavioral, and the neurological), Damasio introduces an evolutionary perspective that entails a radical change in the way the history of conscious minds is viewed and told. He also advances a radical hypothesis regarding the origins and varieties of feelings, which is central to his framework for the biological construction of consciousness: feelings are grounded in a near fusion of body and brain networks, and first emerge from the historically old and humble brain stem rather than from the modern cerebral cortex.  Damasio suggests that the brain’s development of a human self becomes a challenge to nature’s indifference and opens the way for the appearance of culture, a radical break in the course of evolution and the source of a new level of life regulation—sociocultural homeostasis. He leaves no doubt that the blueprint for the work-in-progress he calls sociocultural homeostasis is the genetically well-established basic homeostasis, the curator of value that has been present in simple life-forms for billions of years. Self Comes to Mind is a groundbreaking journey into the neurobiological foundations of mind and self.Downloadhttp://depositfiles.com/files/xlt08paxhOrhttp://www.filesonic.com/file/3554828...

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Out of Control chronicles the dawn of a new era in which the machines and systems that drive our economy are so complex and autonomous as to be indistinguishable from living things.

    Revealing that AD is not one condition, as it is currently treated, but three, The End of Alzheimer's outlines 36 metabolic factors (micronutrients, hormone levels, sleep) that can trigger "downsizing" in the brain. The protocol shows us how to rebalance these factors using lifestyle modifications like taking B12, eliminating gluten, or improving oral hygiene.The results are impressive. Of the first ten patients on the protocol, nine displayed significant improvement with 3-6 months; since then the protocol has yielded similar results with hundreds more. Now, The End of Alzheimer's brings new hope to a broad audience of patients, caregivers, physicians, and treatment centers with a fascinating look inside the science and a complete step-by-step plan that fundamentally changes how we treat and even think about AD.

    Heath in the 1950s and '60s has been described as among the most controversial experiments in US history. His work was alleged at the time to be part of MKUltra, the CIA's notorious "mind control" project. His research subjects included incarcerated convicts and gay men who wished to be "cured" of their sexual preference. Yet his cutting-edge research and legacy were quickly buried deep in Tulane University's archives. Investigative science journalist Lone Frank now tells the complete sage of this passionate, determined doctor and his groundbreaking neuroscience.More than fifty years after Heath's experiments, this very same treatment is becoming mainstream practice in modern psychiatry for everything from schizophrenia, anorexia, and compulsive behavior to depression, Parkinson's, and even substance addiction.Lone Frank uncovered lost documents and accounts of Heath's trailblazing work. She tracked down surviving colleagues and patients, and she delved into the current support for deep brain stimulation by scientists and patients alike. What has changed? Why do we today unquestioningly embrace this technology as a cure? How do we decide what is a disease of the brain to be cured and what should be allowed to remain unprobed and unprodded? And how do we weigh the decades of criticism against the promise of treatment that could be offered to millions of patients?Elegantly written and deeply fascinating, The Pleasure Shock weaves together biography, scientific history, and medical ethics. It is an adventure into our ever-shifting views of the mind and the fateful power we wield when we tinker with the self.

    Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research.ContributorsRodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

    Louann Brizendine, the founder of the first clinic in the country to study gender differences in brain, behavior, and hormones, turns her attention to the male brain, showing how, through every phase of life, the "male reality" is fundamentally different from the female one. Exploring the latest breakthroughs in male psychology and neurology with her trademark accessibility and candor, she reveals that the male brain:     *is a lean, mean, problem-solving machine. Faced with a personal problem, a man will use his analytical brain structures, not his emotional ones, to find a solution.      *thrives under competition, instinctively plays rough and is obsessed with rank and hierarchy.      *has an area for sexual pursuit that is 2.5 times larger than the female brain, consuming him with sexual fantasies about female body parts.     *experiences such a massive increase in testosterone at puberty that he perceive others' faces to be more aggressive.The Male Brain finally overturns the stereotypes. Impeccably researched and at the cutting edge of scientific knowledge, this is a book that every man, and especially every woman bedeviled by a man, will need to own.Praise for The Female Brain:"Louann Brizendine has done a great favor for every man who wants to understand the puzzling women in his life. A breezy and enlightening guide to women and a must-read for men."—Daniel Goleman, author of Emotional Intelligence

    S. Ramachandran is at the forefront of his field-so much so that Richard Dawkins dubbed him the "Marco Polo of neuroscience." Now, in a major new work, Ramachandran sets his sights on the mystery of human uniqueness. Taking us to the frontiers of neurology, he reveals what baffling and extreme case studies can teach us about normal brain function and how it evolved. Synesthesia becomes a window into the brain mechanisms that make some of us more creative than others. And autism--for which Ramachandran opens a new direction for treatment--gives us a glimpse of the aspect of being human that we understand least: self-awareness. Ramachandran tackles the most exciting and controversial topics in neurology with a storyteller's eye for compelling case studies and a researcher's flair for new approaches to age-old questions. Tracing the strange links between neurology and behavior, this book unveils a wealth of clues into the deepest mysteries of the human brain.

    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.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    Since then, the ways we process written language have changed dramatically with many concerned about both their own changes and that of children. New research on the reading brain chronicles these changes in the brains of children and adults as they learn to read while immersed in a digitally dominated medium.Drawing deeply on this research, this book comprises a series of letters Wolf writes to us—her beloved readers—to describe her concerns and her hopes about what is happening to the reading brain as it unavoidably changes to adapt to digital mediums. Wolf raises difficult questions, including:Will children learn to incorporate the full range of "deep reading" processes that are at the core of the expert reading brain?Will the mix of a seemingly infinite set of distractions for children’s attention and their quick access to immediate, voluminous information alter their ability to think for themselves?With information at their fingertips, will the next generation learn to build their own storehouse of knowledge, which could impede the ability to make analogies and draw inferences from what they know?Will all these influences, in turn, change the formation in children and the use in adults of "slower" cognitive processes like critical thinking, personal reflection, imagination, and empathy that comprise deep reading and that influence both how we think and how we live our lives?Will the chain of digital influences ultimately influence the use of the critical analytical and empathic capacities necessary for a democratic society?How can we preserve deep reading processes in future iterations of the reading brain?Who are the "good readers" of every epoch?Concerns about attention span, critical reasoning, and over-reliance on technology are never just about children—Wolf herself has found that, though she is a reading expert, her ability to read deeply has been impacted as she has become, inevitably, increasingly dependent on screens.Wolf draws on neuroscience, literature, education, technology, and philosophy and blends historical, literary, and scientific facts with down-to-earth examples and warm anecdotes to illuminate complex ideas that culminate in a proposal for a biliterate reading brain. Provocative and intriguing, Reader, Come Home is a roadmap that provides a cautionary but hopeful perspective on the impact of technology on our brains and our most essential intellectual capacities—and what this could mean for our future.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    The latter has long been the subject of speculation, but over the past two decades researchers have developed remarkable new tools for probing the hidden, or subliminal, workings of the mind. The result of this explosion of research is a new science of the unconscious and a sea change in our understanding of how the subliminal mind affects the way we live.Employing his trademark wit and lucid, accessible explanations of the most obscure scientific subjects, Leonard Mlodinow takes us on a tour of this research, unraveling the complexities of the subliminal self and increasing our understanding of how the human mind works and how we interact with friends, strangers, spouses, and coworkers. In the process he changes our view of ourselves and the world around us.

     Coauthored by the designer of the Scala language, this authoritative book will teach you, one step at a time, the Scala language and the ideas behind it. The book is carefully crafted to help you learn. The first few chapters will give you enough of the basics that you can already start using Scala for simple tasks. The entire book is organized so that each new concept builds on concepts that came before - a series of steps that promises to help you master the Scala language and the important ideas about programming that Scala embodies. A comprehensive tutorial and reference for Scala, this book covers the entire language and important libraries.