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Neural Mechanisms And Dynamics Underlying Reaching And Decision Making
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Book Synopsis Neural Mechanisms and Dynamics Underlying Reaching and Decision Making by : Matthew Tyler Kaufman
Download or read book Neural Mechanisms and Dynamics Underlying Reaching and Decision Making written by Matthew Tyler Kaufman and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate purpose of the motor system is clear: it exists to control the body. However, despite the motor system being among the longest-studied brain structures, it remains unclear how -- mechanistically -- motor cortex performs this function. Here, a mechanistic approach was taken to investigate how primary motor cortex (M1) and dorsal premotor cortex (PMd) control movement. That is, the goal was to elucidate the dynamics of the motor cortex 'machine.' Monkeys were trained in reaching tasks, and neural signals were recorded from their brains as they performed them. Two broad classes of analysis were used. First, cell-by-cell analyses were combined with cell-type analyses, which permitted examining the activity patterns of excitatory and inhibitory neurons separately. Second, techniques based on dynamical systems analysis (such as dimensionality reduction) were applied, which permitted analysis of neural populations as a whole and abstraction to a somewhat higher level of system function. Three major results and a technical advance are presented. Firstly, we investigated how it is possible for an animal to hold still even as neural activity in motor cortex changes drastically during preparation for the upcoming movement. We found that, contrary to common assumptions, there does not appear to be a 'gate' comprised of high inhibition during preparation. Instead, using the dynamical systems perspective, we found that preparatory activity has a special structure such that it remains in intrinsically muscle neutral, 'iso-force' patterns. Secondly, we searched for coherent dynamics in the movement-time activity of motor cortex. We found that motor cortex appears to obey a relatively simple set of dynamics, dominated by oscillatory patterns. Moreover, the exact neural trajectory is heavily determined ('seeded') by the immediately preceding preparatory activity. In order to causally perturb these dynamics with patterned stimulation and cell-type specificity, we then developed a set of optogenetic techniques for use in primates. Finally, we investigated how the dynamics of the decision-making process are reflected in motor cortex. To do so, we combined a novel decision-making paradigm, many simultaneous neural recordings, and single-trial analytical techniques. Preliminary results are given for this final section, demonstrating the presence of vacillation in monkey decision-making. In summary, we found that preparation and movement can be understood as an oscillatory dynamical system seeded by preparatory activity that lives in an iso-force space, that inhibitory and excitatory neurons seem to play more similar roles in the dynamical system than might be expected, and that moment-by-moment processes of motor decision-making can be seen in motor cortex.
Book Synopsis Neuroscience of Preference and Choice by : Raymond J. Dolan
Download or read book Neuroscience of Preference and Choice written by Raymond J. Dolan and published by Academic Press. This book was released on 2012 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most pressing questions in neuroscience, psychology and economics today is how does the brain generate preferences and make choices? With a unique interdisciplinary approach, this volume is among the first to explore the cognitive and neural mechanisms mediating the generation of the preferences that guide choice. From preferences determining mundane purchases, to social preferences influencing mating choice, through to moral decisions, the authors adopt diverse approaches to answer the question. Chapters explore the instability of preferences and the common neural processes that occur across preferences. Edited by one of the world's most renowned cognitive neuroscientists, each chapter is authored by an expert in the field, with a host of international contributors. Emphasis on common process underlying preference generation makes material applicable to a variety of disciplines - neuroscience, psychology, economics, law, philosophy, etc. Offers specific focus on how preferences are generated to guide decision making, carefully examining one aspect of the broad field of neuroeconomics and complementing existing volumes Features outstanding, international scholarship, with chapters written by an expert in the topic area
Book Synopsis Sensory and Pharmacologic Perturbations to Explore Cognitive and Movement Correlates in Motor Cortical Population Activity by : Jessica Rose Verhein
Download or read book Sensory and Pharmacologic Perturbations to Explore Cognitive and Movement Correlates in Motor Cortical Population Activity written by Jessica Rose Verhein and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: My dissertation research is centered on probing cognitive signals in motor cortex. It encompasses two primary projects studying the correlates of movement selection, planning, and execution in the activity of large populations of motor cortical neurons in awake, behaving monkeys. Each project follows the fundamental approach of applying non-specific perturbations with established effects on behaviors for which there exist known neural correlates in motor cortical population activity, enabling clear and testable predictions about their neural effects. In the first project (Chapter 2, in collaboration with Diogo Peixoto et al.), to probe the mechanisms of choice formation, I employed closed-loop, neurally triggered visual stimulus perturbations. Decision formation is a dynamic but inherently covert process. We sought to track and perturb individual decisions as they unfolded. We were able to decode a time-varying motor cortical neural signal, which we term the "Decision Variable (DV), " tracking an animals' evolving internal decision states as they performed a visuomotor motion discrimination task. Moment-to-moment fluctuations in our decoded DV were nearly instantaneously (statistically) predictive of monkeys' choices. I then tackled the question of whether the state of the DV influences the neural and behavioral response to additional sensory evidence, hypothesizing that a subject would be less sensitive to additional evidence if it was presented when they were more strongly committed to a choice. During individual choices, I triggered weak pulses of additional sensory information at distinct DV levels. As predicted, I found that neural and behavioral responses to these pulses were weaker when the pulses were delivered at strong DVs reflective of stronger commitment to a choice. The system was also more resistant to pulses presented longer after stimulus onset. Additionally, we found that DV variability decreased with prolonged stimulus presentation. These results together provide evidence of time-varying, absorbing decision boundaries in motor cortical population activity, allowing us to rule out particular mechanistic models of decision-making (e.g., those that assume static decision boundaries or lack boundaries altogether). Intriguingly, we also found that many of the moment-to-moment fluctuations in the decoded decision state were not tied to the randomly varying motion information in the visual stimulus, raising exciting new questions for future work to explore regarding other potential sources of this variability. Variants of our general approach may also ultimately prove useful for studying other covert cognitive or affective processes. This work has been published in a co-first-authored article in Nature. The second project, in collaboration with Saurabh Vyas, is an investigation of the effects of systemic methylphenidate (MPH), a commonly used stimulant, on cued reaching behavior (Chapter 3) and motor cortical neural population activity related to movement planning and execution (Chapter 4). The neural mechanisms underlying the behavioral effects of MPH are not well understood. Given its documented effects on movements across species, we sought to characterize the effects of MPH on the neural computations underlying reaching behavior. We embraced the "computation through dynamics" approach that has recently advanced motor neuroscience by understanding motor cortical activity as a dynamical system that generates movements, focusing on known population-level signals ("dynamical motifs") in hopes of furthering both our understanding of the drug's mechanism of action and the relationship between motor cortical activity and behavior. We expected that MPH would speed reaches, and therefore anticipated that the drug might somehow optimize these neural motifs (e.g., by making them faster or less noisy). We administered clinically relevant doses of MPH or placebo to monkeys performing a delayed reaching task while we recorded from motor cortex. We observed behavioral effects including decreased reaction times, increased peak reaching speeds, and decreased trial-by-trial reach variability. We also found effects of MPH on motor cortical dynamical motifs: at a low, clinically relevant dose, MPH reduced the variability of tuned preparatory activity, decreased the latency of the condition-invariant trigger signal, and increased the frequency and signal-to-noise ratio (SNR) of rotational dynamics associated with reach execution -- despite on average decreasing firing rates compared to placebo. The finding of increased rotational frequency contrasts with prior findings in instructed reach speed control and natural speed variability, suggesting that MPH-driven increases in speed may derive from a different mechanism. Overall, a low, clinically relevant dose of MPH appears to boost the gain and SNR of motor cortical population dynamics previously described during reaching behaviors. This project is an important step toward understanding the mechanism of action of a common psychotropic drug from a systems/computational neuroscience perspective, joining a recent body of related work spanning rodents, monkeys, and humans. It also raises intriguing new questions, including about how modulation of other brain regions by MPH may contribute to its effects on motor cortex. This work is currently in preparation as a co-first-authored manuscript; preliminary results have been presented at several conferences. In addition to using perturbations with established behavioral effects to learn something new about motor cortical dynamics, each of these studies also has the potential to inform the evolving field of human systems neuroscience as well as clinical and translational research relating to neuropsychiatric disorders. Both tracking covert mental states, as in the choice decoder project, and understanding the effects of psychoactive drugs on neural activity patterns may prove promising tools for identifying neural dynamics underlying particular mental and behavioral states; therefore, each of these projects could ultimately inform the development of more targeted treatments for motor and/or cognitive dysfunction, including work toward cognitive prosthetics.
Book Synopsis Neurobiology of Decision-Making by : Antonio R. Damasio
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.
Book Synopsis Neuroeconomics by : Paul W. Glimcher
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
Book Synopsis Information Theory of Choice-reaction Times by : Donald Richard John Laming
Download or read book Information Theory of Choice-reaction Times written by Donald Richard John Laming and published by . This book was released on 1968 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Decision Neuroscience by : Jean-Claude Dreher
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
Book Synopsis Decision Making, Affect, and Learning by : Mauricio R. Delgado
Download or read book Decision Making, Affect, and Learning written by Mauricio R. Delgado and published by Attention and Performance. This book was released on 2011-03-24 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on decision making and emotional processing, investigating the psychological and neural systems underlying decision making, and the relationship with reward, affect, and learning. Considers neurodevelopmental and clinical aspects and looks at the applied aspects for other disciplines, including neuroeconomics.
Book Synopsis Dynamics of decision making: from evidence to preference and belief by : Erica Yu
Download or read book Dynamics of decision making: from evidence to preference and belief written by Erica Yu and published by Frontiers E-books. This book was released on 2014-10-24 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the core of the many debates throughout cognitive science concerning how decisions are made are the processes governing the time course of preference formation and decision. From perceptual choices, such as whether the signal on a radar screen indicates an enemy missile or a spot on a CT scan indicates a tumor, to cognitive value-based decisions, such as selecting an agreeable flatmate or deciding the guilt of a defendant, significant and everyday decisions are dynamic over time. Phenomena such as decoy effects, preference reversals and order effects are still puzzling researchers. For example, in a legal context, jurors receive discrete pieces of evidence in sequence, and must integrate these pieces together to reach a singular verdict. From a standard Bayesian viewpoint the order in which people receive the evidence should not influence their final decision, and yet order effects seem a robust empirical phenomena in many decision contexts. Current research on how decisions unfold, especially in a dynamic environment, is advancing our theoretical understanding of decision making. This Research Topic aims to review and further explore the time course of a decision - from how prior beliefs are formed to how those beliefs are used and updated over time, towards the formation of preferences and choices and post-decision processes and effects. Research literatures encompassing varied approaches to the time-scale of decisions will be brought into scope: a) Speeded decisions (and post-decision processes) that require the accumulation of noisy and possibly non-stationary perceptual evidence (e.g., randomly moving dots stimuli), within a few seconds, with or without temporal uncertainty. b) Temporally-extended, value-based decisions that integrate feedback values (e.g., gambling machines) and internally-generated decision criteria (e.g., when one switches attention, selectively, between the various aspects of several choice alternatives). c) Temporally extended, belief-based decisions that build on the integration of evidence, which interacts with the decision maker's belief system, towards the updating of the beliefs and the formation of judgments and preferences (as in the legal context). Research that emphasizes theoretical concerns (including optimality analysis) and mechanisms underlying the decision process, both neural and cognitive, is presented, as well as research that combines experimental and computational levels of analysis.
Book Synopsis Cognitive Modeling by : Jerome R. Busemeyer
Download or read book Cognitive Modeling written by Jerome R. Busemeyer and published by SAGE. This book was released on 2010 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.
Book Synopsis Neural Dynamics of Probabilistic Perceptual Decision Making in the Human Brain by : Nuttida Rungratsameetaweemana
Download or read book Neural Dynamics of Probabilistic Perceptual Decision Making in the Human Brain written by Nuttida Rungratsameetaweemana and published by . This book was released on 2020 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our visual world is full of ambiguous sensory signals, from which we have to extract relevant and meaningful information in order to guide optimal actions. To maximize the efficiency of this process, our visual system relies on foreknowledge to prioritize the processing of relevant or expected features. Knowledge of statistical regularities in the environment can lead to faster detection and recognition of objects when they are encountered in an expected context (e.g., a bird in a backyard) than when they are encountered in unlikely context (e.g., a bird in a washing machine). In addition, knowledge about the current task goals can also support faster and more accurate processing of relevant over irrelevant items--a mechanism referred to as selective attention. In what manner do these "top down" modulatory factors individually and jointly affect visual sensory processing, decision making, and behavior? In three studies, we examined how perceptual decision making is modulated by prior expectation about stimulus probabilities alone and in the context where knowledge about the current behavioral goals were available. We examined these effects both neurally via electroencephalography (EEG) and behaviorally through psychophysics and also in amnesic patients in relation to age-matched controls. To this end, we first devised an experimental paradigm where prior expectation and selective attention could be individually manipulated. The behavioral readouts from this paradigm were continuous which made it possible for the temporal evolution of the effects of expectation and attention on decision process to be probed both behaviorally and in relation to the continuous neural (EEG) measures. We first demonstrated that prior expectation improves decision processes by primarily affecting post-perceptual operations such as initiation and execution of motor responses, instead of directly improving the efficiency of early sensory processing. This finding confirms an idea that has been put forth by traditional theoretical framework that prior expectation affects decision making by preferentially modulating motor responses that correspond to sensory inputs with high probability of occurring. Further, we showed that while both expectation and attention improved behavior, the underlying neural mechanisms that give rise to these effects differed: while attention operates on the early processing of sensory inputs, expectation affects the late stage of decision making by biasing motor responses towards the most likely decision choice. These differential temporal dynamics of expectation and attention were observed both behaviorally and neurally. Finally, we demonstrated that an ability to utilize knowledge about current task goals and to form expectation based on statistical regularities of the sensory environment can be independent of a declarative memory system.
Book Synopsis The Neural Mechanisms of Perceptual Decision Making by : Tiffany Cheing Ho
Download or read book The Neural Mechanisms of Perceptual Decision Making written by Tiffany Cheing Ho and published by . This book was released on 2012 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perceptual decision making (PDM) involves choosing one option among several on the basis of sensory evidence and is a highly adaptive mechanism for organisms to successfully interact with their environments. Such a choice requires integrating and interpreting sensory information for the purpose of guiding subsequent behavior (e.g., seeing a ball move rightward and veering accordingly to catch it). Typical single-unit recording studies examining PDM utilize simple sensorimotor tasks (e.g., a macaque views a noisy array of dots moving in one of two possible directions and deploys a saccade in the chosen - and presumably, perceived - direction) in order to parse various aspects of PDM. With the aid of mathematical models, these experiments have found that the activity of individual neurons involved in motor response generation comprises perceptual decisions, and that PDM can be formalized as an accumulation of sensory evidence towards a particular choice (as represented by an increase in neuronal firing rate) until some threshold is reached. Explaining the mechanisms of PDM at the level of neural populations and linking ensemble patterns of neural activity to perception, however, still remains unclear. With a combination of visual psychophysics, neuroimaging, and modeling, I present a set of studies that examines the neural correlates subserving PDM in human cortex (Experiment 1), clarifies the relationship between sensory representations in visual cortex and perceptual performance (Experiment 2), and tests the behavioral predictions derived from single-cell recordings (Experiment 3). These findings both challenge and confirm some of the previous neurophysiological work: Experiment 1 provides evidence of a neural mechanism of PDM not based purely on oculomotor regions, Experiment 2 shows that the optimality of activation patterns in visual cortex predicts task performance, and Experiment 3 illustrates that attentional manipulations influence perception in a manner consistent with the enhancement and suppression of distinct neural populations predicted from single-unit recordings. Furthermore, these studies demonstrate the utility of model-based cognitive neuroscience in quantifying psychological processes of interest for each individual and relating between-subject differences with corresponding brain measurements.
Book Synopsis Personality, Values, Culture by : Ronald Fischer
Download or read book Personality, Values, Culture written by Ronald Fischer and published by Cambridge University Press. This book was released on 2018 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fischer uses evolutionary psychology to explain why people's personality and values are both similar and different across cultures worldwide.
Book Synopsis The Neural Mechanisms Underlying Visual Target Search by : Marino Pagan
Download or read book The Neural Mechanisms Underlying Visual Target Search written by Marino Pagan and published by . This book was released on 2015 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: The task of finding specific objects and switching between targets is ubiquitous in everyday life. Searching for a particular object requires our brains to activate and maintain a representation of the target (working memory), identify each encountered object (object recognition), and determine whether the currently viewed object matches the sought target (decision making). The comparison of working memory and visual information is thought to happen via feedback of target information from higher-order brain areas to the ventral visual pathway. However, what is exactly represented by these areas and how do they implement this comparison still remains unknown. To investigate these questions, we employed a combined approach involving electrophysiology experiments and computational modeling. In particular, we recorded neural responses in inferotemporal (IT) and perirhinal (PRH) cortex as monkeys performed a visual target search task, and we adopted population-based read-outs to measure the amount and format of information contained in these neural populations. In Chapter 2 we report that the total amount of target match information was matched in IT and PRH, but this information was contained in a more "explicit" (i.e. linearly separable) format in PRH. These results suggest that PRH implements an "untangling" computation to reformat its inputs from IT. Consistent with this hypothesis, a simple linear-nonlinear model was sufficient to capture the transformation between the two areas. In Chapter 3, we report that the untangling computation in PRH takes time to evolve. While this type of dynamic reformatting is normally attributed to complex recurrent circuits, here we demonstrated that this phenomenon could be accounted by the same instantaneous linear-nonlinear model presented in Chapter 2. This counterintuitive finding was due to the existence of non-stationarities in the IT neural representation. Finally, in Chapter 4 we completely describe a novel set of methods that we developed and applied in Chapters 2 and 3 to quantify the task-specific signals contained in the heterogeneous neural responses in IT and PRH, and to relate these signals to measures of task performance. Together, this body of work revealed a previously unknown untangling computation in PRH during visual search, and demonstrated that a feed-forward linear-nonlinear model is sufficient to describe this computation.
Book Synopsis Goal-Directed Decision Making by : Richard W. Morris
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
Book Synopsis Computational Explorations in Cognitive Neuroscience by : Randall C. O'Reilly
Download or read book Computational Explorations in Cognitive Neuroscience written by Randall C. O'Reilly and published by MIT Press. This book was released on 2000-08-28 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.
Book Synopsis Dynamic Thinking by : Gregor Schöner
Download or read book Dynamic Thinking written by Gregor Schöner and published by Oxford University Press. This book was released on 2016 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book describes a new theoretical approach--Dynamic Field Theory (DFT)--that explains how people think and act"--
