Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Neuroeconomics PDF full book. Access full book title Neuroeconomics by Joshua I. Gold. Download full books in PDF and EPUB format.
Author: Joshua I. Gold Publisher: Elsevier Inc. Chapters ISBN: 0128073268 Category : Medical Languages : en Pages : 50
Book Description
Perceptual decisions are deliberative processes that convert noisy neural representations of sensory input into categorical judgments. Because these decisions are amenable to laboratory study, there has been considerable progress in understanding their underlying neural mechanisms. Using a combination of psychophysics, mathematical theory, and physiological measurements in behaving subjects, particularly monkeys, researchers have begun to identify neural substrates for both the representation of sensory input and the readout of that representation to form the categorical judgment. More recent work combining psychophysics with functional neuroimaging is extending these results to understand how and where in the human brain these deliberative decision processes are implemented. In addition to confirming similar basic mechanisms in monkeys and humans, this work is providing new insights into how these processes relate directly to other, more varied and more complex forms of decision making.
Author: Joshua I. Gold Publisher: Elsevier Inc. Chapters ISBN: 0128073268 Category : Medical Languages : en Pages : 50
Book Description
Perceptual decisions are deliberative processes that convert noisy neural representations of sensory input into categorical judgments. Because these decisions are amenable to laboratory study, there has been considerable progress in understanding their underlying neural mechanisms. Using a combination of psychophysics, mathematical theory, and physiological measurements in behaving subjects, particularly monkeys, researchers have begun to identify neural substrates for both the representation of sensory input and the readout of that representation to form the categorical judgment. More recent work combining psychophysics with functional neuroimaging is extending these results to understand how and where in the human brain these deliberative decision processes are implemented. In addition to confirming similar basic mechanisms in monkeys and humans, this work is providing new insights into how these processes relate directly to other, more varied and more complex forms of decision making.
Author: Tiffany Cheing Ho Publisher: ISBN: 9781267616357 Category : Decision making Languages : en Pages : 178
Book Description
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.
Author: Jean-Claude Dreher Publisher: Academic Press ISBN: 0128053313 Category : Medical Languages : en Pages : 442
Book Description
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
Author: Raymond J. Dolan Publisher: Academic Press ISBN: 0123814316 Category : Business & Economics Languages : en Pages : 357
Book Description
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
Author: Koeun Lim Publisher: ISBN: Category : Languages : en Pages : 110
Book Description
When making daily decisions, people naturally ask two questions: how soon can I make a decision, and is it a good decision? In experimental setting, humans can subjectively yet quantitatively assess choice confidence (i.e. how good) based on their perceptual precision even when a decision is made without an immediate reward or feedback. Such choice confidence has been shown to have a non-monotonic relationship with decision time (i.e. how soon), such that choice confidence can be correlated either positively or negatively with decision time depending on how decision time is constrained. However, the neural mechanisms underlying the interaction between choice confidence and decision time during perceptual decision-making are still unclear. Hence, the goals of this research were to (1) develop dynamic computational models and to (2) find neural representations of choice confidence in human scalp potentials. The dynamic models of choice confidence were developed by merging two parallel conceptual frameworks of decision-making, signal detection theory and sequential analyses (i.e., drift diffusion model). Specifically, in order to capture the end-point statistics of binary choice and confidence, we built on a previous study that defined choice confidence in terms of psychophysics derived from signal detection theory. At the same time, we augmented this mathematical model to include accumulator dynamics of a drift-diffusion model to characterize the time-dependence of choice behaviors in a standard forced-choice paradigm. Twelve human subjects performed a subjective visual vertical task, simultaneously reporting binary orientation choice and probabilistic confidence. Both binary choice and confidence experimental data displayed statistics and dynamics consistent with both signal detection theory and evidence accumulation, respectively. Specifically, the computational simulations showed that the unbounded evidence accumulator model fits the confidence data better than the classical bounded model while bounded and unbounded models were indistinguishable for binary choice data. These results suggest that the brain can utilize mechanisms consistent with signal detection theory to assess confidence when observation duration is externally controlled. As a neural mechanism that binds choice action and confidence, a fronto-parietal network has been implicated. Such bi-local neural circuitry is consistent with dual-route model of metacognition, in which the prefrontal cortex supervises and evaluates objectlevel parietal cortex. However, the neural dynamics underlying the interaction between choice confidence and decision time in the fronto-parietal network during the perceptual decision-making have yet to be elucidated. Here we show in fifteen human subjects that choice confidence contributes to frontal event-related potential (ERP) during a predecisional stage when choice accuracy is emphasized over speed during a free response task. We found that the second positive peak, particularly the curvature, of the stimuluslocked frontal ERP at 400-600ms covaries with confidence while the amplitude of the centro-parietal ERP increases with faster decision response time during the same time interval. This finding provides evidence for a causal role of confidence in perceptual decision-making, complementing earlier ERP evidence supporting a retrospective role. Altogether, these results suggest that an internal representation of choice confidence evolves concurrently with choice action prior to reporting a decision. Furthermore, the non-monotonic dynamics of confidence arise from its dual roles that may be determined by the prior expectation of decision time constraint. In other words, the causal role of confidence may underlie the negative correlations between choice confidence and decision time behaviors while the retrospective role may underlie the positive correlations.
Author: Gabriel Stine Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
These observations led me to hypothesize that bursts in SC are the product of a threshold computation involved in terminating the decision and generating the relevant motor response. I confirmed this hypothesis through focal inactivation of SC, which affected behavior and LIP activity in a way that is diagnostic of an impaired threshold mechanism. In total, this work improves our ability to identify the hidden, intermediate steps that underlie decisions and sheds light on their neural basis. All four chapters have been published or posted as separate manuscripts (Steinemann et al., 2022; Stine et al., 2020; Stine et al., 2022; Stine et al., 2019).
Author: Nuttida Rungratsameetaweemana Publisher: ISBN: Category : Languages : en Pages : 72
Book Description
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.
Author: Joshua I. Gold
Author: Braden A. Purcell
Author: Joshua I. Gold
Author: Tiffany Cheing Ho
Author: Long Hei Timothy Wong
Author: Jean-Claude Dreher
Author: Raymond J. Dolan
Author: Koeun Lim
Author: Gabriel Stine
Author: Dieter Jaeger
Author: Nuttida Rungratsameetaweemana