Author: Geoffrey Woodman Publisher: Cognella Academic Publishing ISBN: 9781516534159 Category : Languages : en Pages :
Book Description
The Machines Inside Our Brain: Cognitive Mechanisms of Information Processing is an innovative anthology that not only provides students with engaging articles pertaining to brain processes of information processing and storage, but also teaches students how to strategically read, analyze, and digest scientific articles. The collection begins with a comprehensive instructional chapter that teaches students how to approach the consumption and analysis of a scientific article. Readers learn about the compositional features of an article, what it means when an article is peer reviewed, how to effectively annotate an article to increase personal comprehension, and more. Students are then challenged to apply these techniques to the articles within the anthology, then answer a variety of deep, applied questions regarding their contents. The readings within the collection share research cover the variety of cognitive processes that our brains carry out. Specific articles explore attention, automatic processing of information, the manipulation of mental representations, accessing memory, the structure of short-term memory, the nature of knowledge representation, expertise, problem solving, and more. A unique anthology that shares both classic and cutting-edge research while teaching students how to critically examine scientific articles, The Machines Inside Our Brain is well-suited for courses that focus on memory and brain processes, as well as classes that seek to provide a comprehensive survey of cognitive psychology while teaching students to read the primary scientific literature.
Author: Gee-wah Ng Publisher: World Scientific ISBN: 9814472050 Category : Science Languages : en Pages : 384
Book Description
Brain and mind continue to be a topic of enormous scientific interest. With the recent advances in measuring instruments such as two-photon laser scanning microscopy and fMRI, the neuronal connectivity and circuitry of how the brain's various regions are hierarchically interconnected and organized are better understood now than ever before. By reverse engineering the brain, computer scientists hope to build cognitively intelligent systems that will revolutionize the artificial intelligence paradigm. 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.
Author: Michael Sharwood Smith Publisher: Cambridge University Press ISBN: 1107152895 Category : Education Languages : en Pages : 243
Book Description
This book offers something unique - a perspective of mind and language where diverse topics are carefully integrated within one framework.
Author: Stanislas Dehaene Publisher: ISBN: 0525559884 Category : Computers Languages : en Pages : 354
Book Description
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.
Author: Michael A. Arbib Publisher: Springer ISBN: Category : Computers Languages : en Pages : 238
Book Description
This is a book whose time has come-again. The first edition (published by McGraw-Hill in 1964) was written in 1962, and it celebrated a number of approaches to developing an automata theory that could provide insights into the processing of information in brainlike machines, making it accessible to readers with no more than a college freshman's knowledge of mathematics. The book introduced many readers to aspects of cybernetics-the study of computation and control in animal and machine. But by the mid-1960s, many workers abandoned the integrated study of brains and machines to pursue artificial intelligence (AI) as an end in itself-the programming of computers to exhibit some aspects of human intelligence, but with the emphasis on achieving some benchmark of performance rather than on capturing the mechanisms by which humans were themselves intelligent. Some workers tried to use concepts from AI to model human cognition using computer programs, but were so dominated by the metaphor "the mind is a computer" that many argued that the mind must share with the computers of the 1960s the property of being serial, of executing a series of operations one at a time. As the 1960s became the 1970s, this trend continued. Meanwhile, experi mental neuroscience saw an exploration of new data on the anatomy and physiology of neural circuitry, but little of this research placed these circuits in the context of overall behavior, and little was informed by theoretical con cepts beyond feedback mechanisms and feature detectors.
Author: Publisher: Academic Press ISBN: 0080857752 Category : Science Languages : en Pages : 709
Book Description
The Cerebellum and Cognition pulls together a preeminent group of authors. The cerebellum has been previously considered as a highly complex structure involved only with motor control. The cerebellum is essential to nonmotor functions, and recent research has revealed new medically important roles of the cerebellum and cognitive processes. Selected for inclusion in Doody's Core Titles 2013, an essential collection development tool for health sciences libraries Comprehensive coverage of cerebellum in motor control and cognition New developments regarding the cerebellum and motor systems Therapeutic implications of cerebellar contributions to cognition Preeminent group of contributors
Author: Laurence J. Kirmayer Publisher: Cambridge University Press ISBN: 1108580572 Category : Psychology Languages : en Pages : 683
Book Description
Recent neuroscience research makes it clear that human biology is cultural biology - we develop and live our lives in socially constructed worlds that vary widely in their structure values, and institutions. This integrative volume brings together interdisciplinary perspectives from the human, social, and biological sciences to explore culture, mind, and brain interactions and their impact on personal and societal issues. Contributors provide a fresh look at emerging concepts, models, and applications of the co-constitution of culture, mind, and brain. Chapters survey the latest theoretical and methodological insights alongside the challenges in this area, and describe how these new ideas are being applied in the sciences, humanities, arts, mental health, and everyday life. Readers will gain new appreciation of the ways in which our unique biology and cultural diversity shape behavior and experience, and our ongoing adaptation to a constantly changing world.
Author: Geoffrey Woodman
Author: Gee-wah Ng
Author: Michael Sharwood Smith
Author: Stanislas Dehaene
Author: Philip Nicholas Johnson-Laird
Author: Ikuo Tahara
Author: Hans J. Markowitsch
Author: Michael A. Arbib
Author: 
Author: Laurence J. Kirmayer