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Computational and Cognitive Neuroscience of Vision

Computational and Cognitive Neuroscience of Vision Author Qi Zhao
ISBN-10 9789811002137
Release 2016-08-11
Pages 450
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Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.

Computational Explorations in Cognitive Neuroscience

Computational Explorations in Cognitive Neuroscience Author Randall C. O'Reilly
ISBN-10 0262650541
Release 2000
Pages 504
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This text, based on a course taught by Randall O'Reilly and Yuko Munakata over thepast several years, provides an in-depth introduction to the main ideas in the computationalcognitive neuroscience.

Advances in Cognitive Science

Advances in Cognitive Science Author Narayanan Srinivasan
ISBN-10 9788132100157
Release 2008-08-05
Pages 480
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Since the coinage of the term by scientist H Christopher Longuet-Higgins in 1973, Cognitive Science has become a fast growing field of study worldwide, comprising cross-linkages of disciplines like psychology, neuroscience, computer science, linguistics and philosophy. With contributions from eminent scientists from around the globe, Advances in Cognitive Science: Volume 1 covers various sub-disciplines of this study area like Cognitive Processes, Cognitive Neuroscience, Computational Modeling, Cognitive Development and Intervention, Culture and Cognition, and Consciousness. The often neglected issues of culture and cognition, and consciousness are also discussed in detail. The book presents recent findings and current challenges in the all these areas and also highlights the current trends in the major sub-disciplines. It will be invaluable for researchers, faculty, students and scientists working in the field of Cognitive Science.

Frontiers in Cognitive Neuroscience

Frontiers in Cognitive Neuroscience Author Stephen Michael Kosslyn
ISBN-10 0262611104
Release 1995
Pages 699
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Frontiers in Cognitive Neuroscience is the first book of extensive readings in an exciting new field that is built on the assumption that "the mind is what the brain does," and that seeks to understand how brain function gives rise to mental activities such as perception, memory, and language. The editors, a cognitive scientist and a neuroscientist, have worked together to select contributions that provide the interdisciplinary foundations of this emerging field, putting them into context, both historically and with regard to current issues.Fifty-five articles are grouped in sections that cover attention, vision, auditory and somatosensory systems, memory, and higher cortical functions. They range from Gazzaniga and Bogen's discussion of functional effects of sectioning the cerebral commissure in man and Geschwind's classic study of the organization of language in the brain, published in the 1960s, to contemporary investigations by Schiller and Logothetis on color-opponent and broad-band channels of the primate visual system and by Bekkers and Stevens on presynaptic mechanisms for long-term potentiation in the hippocampus. The editors have provided both a general introduction and introductions to each of the five major sections.Stephen Kosslyn is Professor of Psychology at Harvard University. Richard Andersen is Professor of Neuroscience and Director of the McDonnell-Pew Center for Cognitive Neuroscience at the Massachusetts Institute of Technology.

Computation and Cognition

Computation and Cognition Author Zenon W. Pylyshyn
ISBN-10 026266058X
Release 1986
Pages 292
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This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking.

Computation Cognition and Pylyshyn

Computation  Cognition  and Pylyshyn Author Don Dedrick
ISBN-10 9780262012843
Release 2009
Pages 344
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A collection of cutting-edge work on cognition and a celebration of a foundational figure in the field.

Colour Vision

Colour Vision Author Evan Thompson
ISBN-10 9781134900800
Release 2003-09-02
Pages 376
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Colour fascinates all of us, and scientists and philosophers have sought to understand the true nature of colour vision for many years. In recent times, investigations into colour vision have been one of the main success stories of cognitive science, for each discipline within the field - neuroscience, psychology, linguistics, computer science and artificial intelligence, and philosophy - has contributed significantly to our understanding of colour. Evan Thompson's book is a major contribution to this interdisciplinary project. Colour Vision provides an accessible review of the current scientific and philosophical discussions of colour vision. Thompson steers a course between the subjective and objective positions on colour, arguing for a relational account. This account develops a novel `ecological' approach to colour vision in cognitive science and the philosophy of perception. It is vital reading for all cognitive scientists and philosophers whose interests touch upon this central area.

Computational Neuroscience Models of the Basal Ganglia

Computational Neuroscience Models of the Basal Ganglia Author V. Srinivasa Chakravarthy
ISBN-10 9789811084942
Release 2018-03-21
Pages 296
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The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.

Vision Science

Vision Science Author Stephen E. Palmer
ISBN-10 9780262304016
Release 1999-04-14
Pages 832
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This book revolutionizes how vision can be taught to undergraduate and graduate students in cognitive science, psychology, and optometry. It is the first comprehensive textbook on vision to reflect the integrated computational approach of modern research scientists. This new interdisciplinary approach, called "vision science," integrates psychological, computational, and neuroscientific perspectives. The book covers all major topics related to vision, from early neural processing of image structure in the retina to high-level visual attention, memory, imagery, and awareness. The presentation throughout is theoretically sophisticated yet requires minimal knowledge of mathematics. There is also an extensive glossary, as well as appendices on psychophysical methods, connectionist modeling, and color technology. The book will serve not only as a comprehensive textbook on vision, but also as a valuable reference for researchers in cognitive science, psychology, neuroscience, computer science, optometry, and philosophy.

Cognitive Psychology

Cognitive Psychology Author Alan D. Baddeley
ISBN-10 0863771114
Release 1989
Pages 154
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The papers in this series of five volumes provide a snapshot of current trends in European Cognitive Science. Each of the volumes deals with problems in cognitive science from a different perspective, covering the interacting disciplines of cognitive psychology, logic and linguistics, human?computer interaction, neuroscience and artificial intelligence respectively. Based on the analysis and exposition of the state of the art in their various fields of expertise, the contributors take a prospective look at the basic research problems confronting cognitive science over the next five to ten years. Whilst the authors and editors do consider a wide range of research in their area, they have been encouraged to give their personal view of important directions rather than a bland comprehensive list. Although inevitably controversial, this approach allows a stimulating review of the field, and one which should inspire debate. The highly interdisciplinary nature of cognitive science research means that many issues such as natural language or vision are explored from diverse perspectives in papers representing different disciplines. Each contribution has been written in a way which makes it comprehensible to colleagues from neighbouring disciplines as well as students of cognitive science. It will be particularly useful to graduate students contemplating research projects. The work has been supported and coordinated by the research unit FAST (Forecast and Assessment in Science and Technology) of the EEC Commission in Brussels.

Cognitive Neuroscience of Human Systems

Cognitive Neuroscience of Human Systems Author Chris Forsythe
ISBN-10 9781466570573
Release 2014-09-26
Pages 326
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While there have been tremendous advances in our scientific understanding of the brain, this work has been largely academic, and often oriented toward clinical publication. Cognitive Neuroscience of Human Systems: Work and Everyday Life addresses the relationship between neurophysiological processes and the performance and experience of humans in everyday life. It samples the vast neuroscience literature to identify those areas of research that speak directly to the performance and experience of humans in everyday settings, highlighting the practical, everyday application of brain science. The book explains the underlying basis for well-established principles from human factors, ergonomics, and industrial engineering and design. It also sheds new light on factors affecting human performance and behavior. This is not an academic treatment of neuroscience, but rather a translation that makes modern brain science accessible and easily applicable to systems design, education and training, and the development of policies and practices. The authors supply clear and direct guidance on the applications of principles from brain science to everyday problems. With discussions of topics from brain science and their relevance to everyday activities, the book focuses on the science, describing the findings and the studies producing these findings. It then decodes how these findings relate to everyday life and how you can integrate them into your work to achieve more effective outcomes based on a fundamental understanding of how the operations of the human brain produce behavior and modulate performance.

Cognitive Science and the Social

Cognitive Science and the Social Author Stephen P. Turner
ISBN-10 9781351180504
Release 2018-03-09
Pages 226
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The rise of cognitive neuroscience is the most important scientific and intellectual development of the last thirty years. Findings pour forth, and major initiatives for brain research continue. The social sciences have responded to this development slowly--for good reasons. The implications of particular controversial findings, such as the discovery of mirror neurons, have been ambiguous, controversial within neuroscience itself, and difficult to integrate with conventional social science. Yet many of these findings, such as those of experimental neuro-economics, pose very direct challenges to standard social science. At the same time, however, the known facts of social science, for example about linguistic and moral diversity, pose a significant challenge to standard neuroscience approaches, which tend to focus on "universal" aspects of human and animal cognition. A serious encounter between cognitive neuroscience and social science is likely to be challenging, and transformative, for both parties. Although a literature has developed on proposals to integrate neuroscience and social science, these proposals go in divergent directions. None of them has a developed conception of social life. This book surveys these issues, introduces the basic alternative conceptions both of the mental world and the social world, and show how, with sufficient modification, they can be fit together in plausible ways. The book is not a "new theory " of anything, but rather an exploration of the critical issues that relate to the social aspects of cognition which expands the topic from the social neuroscience of immediate interpersonal interaction to the whole range of places where social variation interacts with the cognitive. The focus is on the conceptual problems produced by any attempt to take these issues seriously, and also on the new resources and considerations relevant to doing so. But it is also on the need for a revision of social theoretical concepts in order to utilize these resources. The book points to some conclusions, especially about how the process of what was known as socialization needs to be understood in cognitive science friendly terms. But there is no attempt to resolve the underlying issues within cognitive science, which will doubtless persist.

Methods in Mind

Methods in Mind Author Carl Senior
ISBN-10 9780262195416
Release 2006-06-23
Pages 382
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The evolution of cognitive neuroscience has been spurred by the development of increasingly sophisticated investigative techniques to study human cognition. In Methods in Mind, experts examine the wide variety of tools available to cognitive neuroscientists, paying particular attention to the ways in which different methods can be integrated to strengthen empirical findings and how innovative uses for established techniques can be developed. The book will be a uniquely valuable resource for the researcher seeking to expand his or her repertoire of investigative techniques.Each chapter explores a different approach. These include transcranial magnetic stimulation, cognitive neuropsychiatry, lesion studies in nonhuman primates, computational modeling, psychophysiology, single neurons and primate behavior, grid computing, eye movements, fMRI, electroencephalography, imaging genetics, magnetoencephalography, neuropharmacology, and neuroendocrinology. As mandated, authors focus on convergence and innovation in their fields; chapters highlight such cross-method innovations as the use of the fMRI signal to constrain magnetoencephalography, the use of electroencephalography (EEG) to guide rapid transcranial magnetic stimulation at a specific frequency, and the successful integration of neuroimaging and genetic analysis. Computational approaches depend on increased computing power, and one chapter describes the use of distributed or grid computing to analyze massive datasets in cyberspace. Each chapter author is a leading authority in the technique discussed.Contributors: Peyman Adjamian, Peter A. Bandettini, Mark Baxter, Anthony S. David, James Dobson, Ian Foster, Michael Gazzaniga, Dietmar G. Heinke, Stephen Hall, John M. Henderson, Glyn W. Humphreys, Andreas Meyer-Lindenburg, Venkata Mattay, Elisabeth A. Murray, Gina Rippon, Tamara Russell, Carl Senior, Philip Shaw, Krish D. Singh, Marc A. Sommer, Lauren Stewart, John D. Van Horn, Jens Voeckler, Vincent Walsh, Daniel R. Weinberger, Michael Wilde, Jeffrey Woodward, Robert H. Wurtz, Eun Young Yoon, Yong Zhao Carl Senior, Tamara Russell and Michael S. Gazzaniga

The Cognitive Neuroscience of Metacognition

The Cognitive Neuroscience of Metacognition Author Stephen M. Fleming
ISBN-10 9783642451904
Release 2014-01-31
Pages 407
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Metacognition is the capacity to reflect upon and evaluate cognition and behaviour. Long of interest to philosophers and psychologists, metacognition has recently become the target of research in the cognitive neurosciences. By combining brain imaging, computational modeling, neuropsychology and insights from psychiatry, the present book offers a picture of the metacognitive functions of the brain. Chapters cover the definition and measurement of metacognition in humans and non-human animals, the computational underpinnings of metacognitive judgments the cognitive neuroscience of self-monitoring ranging from confidence to error-monitoring and neuropsychiatric studies of disorders of metacognition. This book provides an invaluable overview of a rapidly emerging and important field within cognitive neuroscience.

Computational Neuroscience and Cognitive Modelling

Computational Neuroscience and Cognitive Modelling Author Britt Anderson
ISBN-10 9781446297377
Release 2014-01-06
Pages 240
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"For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed." - Anjan Chatterjee, Professor of Neurology, University of Pennsylvania "Anderson provides a gentle introduction to computational aspects of psychological science, managing to respect the reader’s intelligence while also being completely unintimidating. Using carefully-selected computational demonstrations, he guides students through a wide array of important approaches and tools, with little in the way of prerequisites...I recommend it with enthusiasm." - Asohan Amarasingham, The City University of New York This unique, self-contained and accessible textbook provides an introduction to computational modelling neuroscience accessible to readers with little or no background in computing or mathematics. Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. This non-technical guide shows how basic knowledge and modern computers can be combined for interesting simulations, progressing from early exercises utilizing spreadsheets, to simple programs in Python. Key Features include: Interleaved chapters that show how traditional computing constructs are simply disguised versions of the spread sheet methods. Mathematical facts and notation needed to understand the modelling methods are presented at their most basic and are interleaved with biographical and historical notes for contex. Numerous worked examples to demonstrate the themes and procedures of cognitive modelling. An excellent text for postgraduate students taking courses in research methods, computational neuroscience, computational modelling, cognitive science and neuroscience. It will be especially valuable to psychology students.

Cognitive Computing Theory and Applications

Cognitive Computing  Theory and Applications Author Vijay V Raghavan
ISBN-10 9780444637512
Release 2016-09-10
Pages 404
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Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety of diverse applications and recent developments Contributors are internationally renowned experts in their respective areas

Computational Neuroscience

Computational Neuroscience Author Hanspeter Mallot
ISBN-10 9783319008615
Release 2013-05-23
Pages 135
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Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.