Download or read book Encyclopedia of Computational Neuroscience written by Dieter Jaeger and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Encyclopedia of Computational Neuroscience written by Dieter Jaeger and published by Springer. This book was released on 2015-02-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscience” emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.

Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Download or read book Decision Neuroscience written by Jean-Claude Dreher and published by Academic Press. This book was released on 2016-09-27 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Neuroscience addresses fundamental questions about how the brain makes perceptual, value-based, and more complex decisions in non-social and social contexts. This book presents compelling neuroimaging, electrophysiological, lesional, and neurocomputational models in combination with hormonal and genetic approaches, which have led to a clearer understanding of the neural mechanisms behind how the brain makes decisions. The five parts of the book address distinct but inter-related topics and are designed to serve both as classroom introductions to major subareas in decision neuroscience and as advanced syntheses of all that has been accomplished in the last decade. Part I is devoted to anatomical, neurophysiological, pharmacological, and optogenetics animal studies on reinforcement-guided decision making, such as the representation of instructions, expectations, and outcomes; the updating of action values; and the evaluation process guiding choices between prospective rewards. Part II covers the topic of the neural representations of motivation, perceptual decision making, and value-based decision making in humans, combining neurcomputational models and brain imaging studies. Part III focuses on the rapidly developing field of social decision neuroscience, integrating recent mechanistic understanding of social decisions in both non-human primates and humans. Part IV covers clinical aspects involving disorders of decision making that link together basic research areas including systems, cognitive, and clinical neuroscience; this part examines dysfunctions of decision making in neurological and psychiatric disorders, such as Parkinson's disease, schizophrenia, behavioral addictions, and focal brain lesions. Part V focuses on the roles of various hormones (cortisol, oxytocin, ghrelin/leptine) and genes that underlie inter-individual differences observed with stress, food choices, and social decision-making processes. The volume is essential reading for anyone interested in decision making neuroscience. With contributions that are forward-looking assessments of the current and future issues faced by researchers, Decision Neuroscience is essential reading for anyone interested in decision-making neuroscience. - Provides comprehensive coverage of approaches to studying individual and social decision neuroscience, including primate neurophysiology, brain imaging in healthy humans and in various disorders, and genetic and hormonal influences on decision making - Covers multiple levels of analysis, from molecular mechanisms to neural-systems dynamics and computational models of how we make choices - Discusses clinical implications of process dysfunctions, including schizophrenia, Parkinson's disease, eating disorders, drug addiction, and pathological gambling - Features chapters from top international researchers in the field and full-color presentation throughout with numerous illustrations to highlight key concepts

Download or read book Efficient Cognition written by Armin W. Schulz and published by MIT Press. This book was released on 2018-02-09 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment. Many organisms (including humans) make decisions by relying on mental representations. Not simply a reaction triggered by perception, representational decision making employs high-level, non-perceptual mental states with content to manage interactions with the environment. A person making a decision based on mental representations, for example, takes a step back from her perceptions at the time to assess the nature of the world she lives in. But why would organisms rely on representational decision making, and what evolutionary benefits does this reliance provide to the decision maker? In Efficient Cognition, Armin Schulz argues that representational decision making can be more cognitively efficient than non-representational decision making. Specifically, he shows that a key driver in the evolution of representational decision making is that mental representations can enable an organism to save cognitive resources and adjust more efficiently to changed environments. After laying out the foundations of his argument—clarifying the central questions, the characterization of representational decision making, and the relevance of an evidential form of evolutionary psychology—Schulz presents his account of the evolution of representational decision making and critically considers some of the existing accounts of the subject. He then applies his account to three open questions concerning the nature of representational decision making: the extendedness of decision making, and when we should expect cognition to extend into the environment; the specialization of decision making and the use of simple heuristics; and the psychological sources of altruistic behaviors.

Download or read book Neuroeconomics written by Paul W. Glimcher and published by Academic Press. This book was released on 2013-08-13 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since it first published, Neuroeconomics: Decision Making and the Brain has become the standard reference and textbook in the burgeoning field of neuroeconomics. The second edition, a nearly complete revision of this landmark book, will set a new standard. This new edition features five sections designed to serve as both classroom-friendly introductions to each of the major subareas in neuroeconomics, and as advanced synopses of all that has been accomplished in the last two decades in this rapidly expanding academic discipline. The first of these sections provides useful introductions to the disciplines of microeconomics, the psychology of judgment and decision, computational neuroscience, and anthropology for scholars and students seeking interdisciplinary breadth. The second section provides an overview of how human and animal preferences are represented in the mammalian nervous systems. Chapters on risk, time preferences, social preferences, emotion, pharmacology, and common neural currencies—each written by leading experts—lay out the foundations of neuroeconomic thought. The third section contains both overview and in-depth chapters on the fundamentals of reinforcement learning, value learning, and value representation. The fourth section, "The Neural Mechanisms for Choice, integrates what is known about the decision-making architecture into state-of-the-art models of how we make choices. The final section embeds these mechanisms in a larger social context, showing how these mechanisms function during social decision-making in both humans and animals. The book provides a historically rich exposition in each of its chapters and emphasizes both the accomplishments and the controversies in the field. A clear explanatory style and a single expository voice characterize all chapters, making core issues in economics, psychology, and neuroscience accessible to scholars from all disciplines. The volume is essential reading for anyone interested in neuroeconomics in particular or decision making in general. - Editors and contributing authors are among the acknowledged experts and founders in the field, making this the authoritative reference for neuroeconomics - Suitable as an advanced undergraduate or graduate textbook as well as a thorough reference for active researchers - Introductory chapters on economics, psychology, neuroscience, and anthropology provide students and scholars from any discipline with the keys to understanding this interdisciplinary field - Detailed chapters on subjects that include reinforcement learning, risk, inter-temporal choice, drift-diffusion models, game theory, and prospect theory make this an invaluable reference - Published in association with the Society for Neuroeconomics—www.neuroeconomics.org - Full-color presentation throughout with numerous carefully selected illustrations to highlight key concepts

Download or read book Modeling Individual Differences in Perceptual Decision Making written by Joseph W. Houpt and published by Frontiers Media SA. This book was released on 2017-01-18 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: To deal with the abundant amount of information in the environment in order to achieve our goals, human beings adopt a strategy to accumulate some information and filter out other information to ultimately make decisions. Since the development of cognitive science in the 1960s, researchers have been interested in understanding how human beings process and accumulate information for decision-making. Researchers have conducted extensive behavioral studies and applied a wide range of modeling tools to study human behavior in simple-detection tasks and two-choice decision tasks (e.g., discrimination, classification). In general, researchers often assume that the manner in which information is processed for decision-making is invariant across individuals given a particular experimental context. Independent variables, including speed-accuracy instructions, stimulus properties (i.e., intensity), and characteristics of the participants (i.e., aging, cognitive ability) are assumed to affect the parameters in a model (i.e., speed of information accumulation, response bias) but not the way that participants process information (e.g., the order of information processing). Given these assumptions, much modeling has been accomplished based on the grouped data, rather than the individual data. However, a growing number of studies have demonstrated that there were individual differences in the perceptual decision process. In the same task context, different groups of the participants may process information in different manners. The capacity and architecture of the decision mechanism were found to vary across individuals, implying that humans’ decision strategies can vary depending on the context to maximize their performance. In this special issue, we focused on a particular subset of cognitive models, particularly accumulator models, multinomial processing trees and systems factorial technology (SFT) as applied to perceptual decision making. The motivation for the focus on perceptual decision-making is threefold. Empirical studies of perception have grown out of a history of making a large number of observations for each individual so as to achieve precise estimates of each individual’s performance. This type of data, rather than a small number of observations per individual, is most amenable to achieving precision in individual-level and group-level cognitive modeling. Second, the interaction between the acquisition of perceptual information and the decisions based on that information (to the extent that those processes are distinguishable) offers rich data for scientific exploration. Finally, there is an increasing interest in the practical application of individual variation in perceptual ability, whether to inform perceptual training and expertise, or to guide personnel decisions. Although these practical applications are beyond the scope of this issue, we hope that the research presented herein may serve as the foundation for future endeavors in that domain.

Download or read book Neurobiology of Decision Making written by Antonio R. Damasio and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroscience has paid only little attention to decision-making for many years. Although no field of science has cohered around this topic, a variety of researchers in different areas of neuroscience ranging from cellular physiology to neuropsychology and computational neuroscience have been engaged in working on this issue. Thus, the time seemed to be ripe to bring these researchers together and discuss the state of the art of the neurobiology of decision-making in a broad forum. This book is a collection of contributions presented at that forum in Paris in October 1994 organized by the Fondation IPSEN.

Download or read book The Neural Determinants of Perceptual Decision making in the Human Brain written by Deirdre M. Twomey and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Goal Directed Decision Making written by Richard W. Morris and published by Academic Press. This book was released on 2018-08-23 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making

Download or read book Free Will Causality and Neuroscience written by Bernard Feltz and published by Brill. This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to show that recent developments in neuroscience permit a defense of free will. Through language, human beings can escape strict biological determinism.

Download or read book Systems Factorial Technology written by Daniel Little and published by Academic Press. This book was released on 2017-04-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision-making. This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience. Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory. - Provides a thorough introduction to the diagnostic tools offered by SFT - Includes a tutorial on applying the method to reaction time data from a variety of different situations - Introduces novel advances for testing the significance of SFT results - Incorporates new measures that allow for the relaxation of the high accuracy criterion - Examines tools to expand the scope of SFT analyses - Applies SFT to a spectrum of different cognitive domains across different sensory modalities

Download or read book Eye Tracking Methodology written by Andrew Duchowski and published by Springer Science & Business Media. This book was released on 2007-09-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This 2nd edition of the successful guide contains significant additional material on the topic and aims to fill that gap in the market by providing an accessible and comprehensive introduction. Additional key features of the 2nd edition include: Technical description of new (state-of-the-art) eye tracking technology; a complete whole new section describing experimental methodology including experimental design, empirical guidelines, and five case studies; and survey material regarding recent research publications.

Download or read book Perception and Misperception in International Politics written by Robert Jervis and published by Princeton University Press. This book was released on 2017-05-02 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its original publication in 1976, Perception and Misperception in International Politics has become a landmark book in its field, hailed by the New York Times as "the seminal statement of principles underlying political psychology." This new edition includes an extensive preface by the author reflecting on the book's lasting impact and legacy, particularly in the application of cognitive psychology to political decision making, and brings that analysis up to date by discussing the relevant psychological research over the past forty years. Jervis describes the process of perception (for example, how decision makers learn from history) and then explores common forms of misperception (such as overestimating one's influence). He then tests his ideas through a number of important events in international relations from nineteenth- and twentieth-century European history. Perception and Misperception in International Politics is essential for understanding international relations today.

Download or read book Anticipation and Decision Making in Sport written by A. Mark Williams and published by Routledge. This book was released on 2019-02-12 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to anticipate and make accurate decisions in a timely manner is fundamental to high-level performance in sport. This is the first book to identify the underlying science behind anticipation and decision making in sport, enhancing our scientific understanding of these phenomena and helping practitioners to develop interventions to facilitate the more rapid acquisition of the perceptual-cognitive skills that underpin these judgements. Adopting a multidisciplinary approach — encompassing research from psychology, biomechanics, neuroscience, physiology, computing science, and performance analysis — the book is divided into three sections. The first section provides a comprehensive analysis of the processes and mechanisms underpinning anticipation and skilled perception in sport. In the second section, the focus shifts towards exploring the science of decision making in sport. The final section is more applied, outlining how the key skills that impact on anticipation and decision making may be facilitated through various training interventions. With chapters written by leading experts from a vast range of countries and continents, no other book offers such a synthesis of the historical development of the field, contemporary research, and future areas for investigation in anticipation and decision making in sport. This is a fascinating and important text for students and researchers in sport psychology, skill acquisition, expert performance, motor learning, motor behaviour, and coaching science, as well as practicing coaches from any sport.

Download or read book Perceptual Intelligence written by Brian Boxer Wachler, MD and published by New World Library. This book was released on 2017-09-15 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Secret Behind Our Perceptions Finally Revealed! Why do we gravitate to products endorsed by celebrities? Why does time seem to go by faster as we get older? Why are some athletes perpetual winners and others losers? Exploring the brain’s ability to interpret and make sense of the world, Dr. Brian Boxer Wachler describes how your perception can be reality or fantasy and how to separate the two, which is the basis of improving your Perceptual Intelligence (PI). With concrete examples and case studies, Dr. Brian (as he’s known to his patients) explains why our senses do not always match reality and how we can influence the world around us through perceptions, inward and outward. By fine-tuning your PI, you can better understand what’s really going on and make more insightful decisions in your life.

Download or read book Integration of Sensory and Reward Information During Perceptual Decision making in Lateral Intraparietal Cortex LIP written by Alan E. Rorie and published by Stanford University. This book was released on 2011 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work presented in this dissertation primarily focuses on decision-related activity in the lateral intraparietal area (LIP) and, secondarily, the dorsolateral prefrontal cortex (DLPFC). In Chapter 1 we review the previous independent investigations indicating that these areas are separately modulated by sensory information, value information and choice appropriate to represent decisions. We argue that when both sensory and value information must be simultaneously integrated to make choices, it is unknown, if, how and when these areas integrate these factors. We present a behavioral paradigm in which animal subjects must combine sensory and value information, on a trial-to-trial basis, to make optimal choices. This paradigm is based on a well-known motion discrimination task; however, in our task the magnitude of the reward associated with each option varies from trial to trial. On some trials both options are worth equally large or small rewards. On other trials one option's reward is greater than that of the other. In Chapter 2, we demonstrate that in the unequal reward conditions subjects' choices are consistently biased towards the greater magnitude option. Additionally, we will show that this bias is independent of the motion stimulus strength and its magnitude is nearly optimal. In Chapter 3, we observe that single neurons in cortical area LIP consistently, simultaneously and dynamically represent both sensory and value information. We will argue that this representation supports an integrator model of decision making, in which sensory information is accumulated until the decision is resolved by a threshold crossing. Our results support an interpretation of this model in which value information adjusts the likelihood of a threshold crossing by iv raising or lowering the accumulator's initial state. In Chapter 4, we present a preliminary comparison between LIP and DLPFC activity, under identical conditions, suggesting they play fundamentally different roles in decision making. In Chapter 5, we discuss future lines of research.