Intelligence And The Brain
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| Author | : Dennis Garlick |
| Publisher | : AESOP Press |
| Total Pages | : 256 |
| Release | : 2010 |
| Genre | : Brain |
| ISBN | : 0615319211 |
This book turns the corner and finally provides a convincing explanation of IQ and human intelligence. It begins by rejecting some of the most basic assumptions that psychologists make about intelligence, including that intelligence should be defined by behavior. Instead, it argues that intelligence is about the ability to understand. It then uses recent scientific findings about the brain to show how changes in the brain lead to understanding. Readers will find that this book contains many revelations that will profoundly change their perception of how their own brain works. This book will also explore the startling implication of a sensitive period for developing intelligence, arguing that children can learn differently than adults. Anyone who is interested in how the brain works, why people differ in intelligence, and how a child can be a genius will want to read this book.
| Author | : Jeff Hawkins |
| Publisher | : Basic Books |
| Total Pages | : 251 |
| Release | : 2021-03-02 |
| Genre | : Computers |
| ISBN | : 1541675800 |
A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021
| Author | : Jeff Hawkins |
| Publisher | : Macmillan |
| Total Pages | : 276 |
| Release | : 2007-04-01 |
| Genre | : Computers |
| ISBN | : 1429900458 |
From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
| Author | : Richard J. Haier |
| Publisher | : Cambridge University Press |
| Total Pages | : 317 |
| Release | : 2023-07-27 |
| Genre | : Psychology |
| ISBN | : 1009295047 |
This new edition provides an accessible guide to advances in neuroscience research and what they reveal about intelligence. Compelling evidence shows that genetics plays a major role as intelligence develops from childhood, and that intelligence test scores correspond strongly to specific features of the brain assessed with neuroimaging. In detailed yet understandable language, Richard J. Haier explains cutting-edge techniques based on DNA and imaging of brain connectivity and function. He dispels common misconceptions – such as the belief that IQ tests are biased or meaningless. Readers will learn about the real possibility of dramatically enhancing intelligence and the positive implications this could have for education and social policy. The text also explores potential controversies surrounding neuro-poverty, neuro-socioeconomic status, and the morality of enhancing intelligence for everyone.
| Author | : Bernhard Sendhoff |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 359 |
| Release | : 2009-04-02 |
| Genre | : Medical |
| ISBN | : 3642006159 |
TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.
| Author | : John Duncan |
| Publisher | : Yale University Press |
| Total Pages | : 270 |
| Release | : 2010-10-22 |
| Genre | : Science |
| ISBN | : 030016873X |
A lively journey through the brain’s inner workings from “one of the world’s leading cognitive neuroscientists” (The Wall Street Journal). Human intelligence builds sprawling cities, vast cornfields, and complex microchips. It takes us from the atom to the limits of the universe. How does the biological brain, a collection of billions of cells, enable us to do things no other species can do? In this book, neuroscientist John Duncan offers an adventure story—the story of the hunt for basic principles of human intelligence, behavior, and thought. Using results drawn from classical studies of intelligence testing; from attempts to build computers that think; from studies of how minds change after brain damage; from modern discoveries of brain imaging; and from groundbreaking recent research, he synthesizes often difficult-to-understand information into clear, fascinating prose about how brains work. Moving from the foundations of psychology, artificial intelligence, and neuroscience to the most current scientific thinking, How Intelligence Happens is “a timely, original, and highly readable contribution to our understanding” (Nancy Kanwisher, MIT) from a winner of the Heineken Prize for Cognitive Science
| Author | : Gary Lynch |
| Publisher | : St. Martin's Press |
| Total Pages | : 274 |
| Release | : 2008-03-04 |
| Genre | : Science |
| ISBN | : 023061146X |
Our big brains, our language ability, and our intelligence make us uniquely human. But barely 10,000 years ago (a mere blip in evolutionary time) human-like creatures called "Boskops" flourished in South Africa. They possessed extraordinary features: forebrains roughly 50% larger than ours, and estimated IQs to match--far surpassing our own. Many of these huge fossil skulls have been discovered over the last century, but most of us have never heard of this scientific marvel. Prominent neuroscientists Gary Lynch and Richard Granger compare the contents of the Boskop brain and our own brains today, and arrive at startling conclusions about our intelligence and creativity. Connecting cutting-edge theories of genetics, evolution, language, memory, learning, and intelligence, Lynch and Granger show the implications of large brains for a broad array of fields, from the current state of the art in Alzheimer's and other brain disorders, to new advances in brain-based robots that see and converse with us, and the means by which neural prosthetics-- replacement parts for the brain--are being designed and tested. The authors demystify the complexities of our brains in this fascinating and accessible book, and give us tantalizing insights into our humanity--its past, and its future.
| Author | : Daniel Goleman |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2011 |
| Genre | : Brain--Research |
| ISBN | : 9781930000001 |
| Author | : Rolf Pfeifer |
| Publisher | : MIT Press |
| Total Pages | : 724 |
| Release | : 2001-07-27 |
| Genre | : Computers |
| ISBN | : 9780262250795 |
The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.
| Author | : Aron K. Barbey |
| Publisher | : Cambridge University Press |
| Total Pages | : 624 |
| Release | : 2021-07-01 |
| Genre | : Psychology |
| ISBN | : 1108573746 |
This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabolic markers of intelligence.
