Computational neurobiology of reaching and pointing, Shadmehr, Reza (johns Hopkins University) Wise, Steven P.

Автор: Gershman Samuel
Название: What Makes Us Smart: The Computational Logic of Human Cognition
ISBN: 069120571X ISBN-13(EAN): 9780691205717
Издательство: Wiley
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Цена: 31680.00 T
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Описание:

How a computational framework can account for the successes and failures of human cognition

At the heart of human intelligence rests a fundamental puzzle: How are we are incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory--in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.

Embarking across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.

Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.

Автор: Gianluca Baldassarre; Marco Mirolli
Название: Computational and Robotic Models of the Hierarchical Organization of Behavior
ISBN: 3662514028 ISBN-13(EAN): 9783662514023
Издательство: Springer
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Цена: 102480.00 T
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Описание: While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain.

Автор: Robert Hecht-Nielsen; Thomas McKenna
Название: Computational Models for Neuroscience
ISBN: 1447111117 ISBN-13(EAN): 9781447111115
Издательство: Springer
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Цена: 121890.00 T
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Описание: At this epoch, neuroscience is like a huge collection of small, jagged, jigsaw puz- zle pieces piled in a mound in a large warehouse (with neuroscientists going in and tossing more pieces onto the mound every month).

Автор: Simon Farrell, Stephan Lewandowsky
Название: Computational Modeling of Cognition and Behavior
ISBN: 110710999X ISBN-13(EAN): 9781107109995
Издательство: Cambridge Academ
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Цена: 141510.00 T
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Описание: This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

Автор: Koczy Laszlo T., Medina-Moreno Jesus, Ramirez-Poussa Eloisa
Название: Interactions Between Computational Intelligence and Mathematics Part 2
ISBN: 3030016315 ISBN-13(EAN): 9783030016319
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents recent research in the field of interaction between computational intelligence and mathematics. In the current technological age, we face the challenges of tackling very complex problems – in the usual sense, but also in the mathematical and theoretical computer science sense. However, even the most up-to-date results in mathematics, are unable to provide exact solutions of such problems, and no further technical advances will ever make it possible to find general and exact solutions. Constantly developing technologies (including social technologies) necessitate handling very complex problems. This has led to a search for acceptably “good” or precise solutions, which can be achieved by the combination of traditional mathematical techniques and computational intelligence tools, in order to solve the various problems emerging in many different areas to a satisfactory degree.Important funding programs, such as the European Commission’s current framework programme for research and innovation – Horizon 2020 – are devoted to the development of new instruments to deal with the current challenges. Without doubt, research topics associated with the interactions between computational intelligence and traditional mathematics play a key role. Presenting contributions from engineers, scientists and mathematicians, this book offers a series of novel solutions for meaningful and real-world problems that connect those research areas.

Автор: Ishwar K. Sethi
Название: Computational Vision and Robotics
ISBN: 8132221958 ISBN-13(EAN): 9788132221951
Издательство: Springer
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Цена: 130430.00 T
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Описание: The book also covers article from the areas of Robotics such as Solar Power Robot Vehicle, Multi Robot Area Exploration, Intelligent Driving System based on Video Sequencing, Emotion Recognition using MLP Network, Identifying the Unstructured Environment.

Автор: Jiyuan Tu; Kiao Inthavong; Kelvin Kian Loong Wong
Название: Computational Hemodynamics – Theory, Modelling and Applications
ISBN: 9402407421 ISBN-13(EAN): 9789402407426
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book discusses geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. Where traditional research methodologies in the human cardiovascular system are challenging due to its invasive nature, several recent advances in medical imaging and computational fluid and solid mechanics modelling now provide new and exciting research opportunities. This emerging field of study is multi-disciplinary, involving numerical methods, computational science, fluid and structural mechanics, and biomedical engineering. Certainly any new student or researcher in this field may feel overwhelmed by the wide range of disciplines that need to be understood. This unique book is one of the first to bring together knowledge from multiple disciplines, providing a starting point to each of the individual disciplines involved, attempting to ease the steep learning curve. This book presents elementary knowledge on the physiology of the cardiovascular system; basic knowledge and techniques on reconstructing geometric models from medical imaging; mathematics that describe fluid and structural mechanics, and corresponding numerical/computational methods to solve its equations and problems. Many practical examples and case studies are presented to reinforce best practice guidelines for setting high quality computational models and simulations. These examples contain a large number of images for visualization, to explain cardiovascular physiological functions and disease. The reader is then exposed to some of the latest research activities through a summary of breakthrough research models, findings, and techniques. The book’s approach is aimed at students and researchers entering this field from engineering, applied mathematics, biotechnology or medicine, wishing to engage in this emerging and exciting field of computational hemodynamics modelling.

Автор: N. Le Nov?re
Название: Computational Systems Neurobiology
ISBN: 9401783802 ISBN-13(EAN): 9789401783804
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book introduces the many different types of computational studies that can be used in the study of neuronal systems, covering functional genomics, quantitative modeling of biochemical systems, and examining specific methodologies in detail.

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 100310.00 T
Наличие на складе: Поставка под заказ.
Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Автор: Risto Miikkulainen; James A. Bednar; Yoonsuck Choe
Название: Computational Maps in the Visual Cortex
ISBN: 1441919589 ISBN-13(EAN): 9781441919588
Издательство: Springer
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Цена: 104480.00 T
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Описание: For more than 30 years, the visual cortex has been the source of new theories and ideas about how the brain processes information. Understanding the computations in the visual cortex is therefore an important step toward a general theory of computational brain theory.

Автор: Farrell, Simon (university Of Western Australia, Perth) Lewandowsky, Stephan (university Of Bristol)
Название: Computational modeling of cognition and behavior
ISBN: 1107525616 ISBN-13(EAN): 9781107525610
Издательство: Cambridge Academ
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Цена: 51750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

Автор: Chung Moo K
Название: Computational Neuroanatomy: The Methods
ISBN: 9814335436 ISBN-13(EAN): 9789814335430
Издательство: World Scientific Publishing
Цена: 142560.00 T
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Описание: Computational neuroanatomy utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This book provides an overview of various mathematical, statistical and computational methodologies used in the field.