Index of papers in PLOS Comp. Biol. that mention
  • decision-making
Vassilios Christopoulos, James Bonaiuto, Richard A. Andersen
Author Summary
The value and the availability of an option can change dynamically even during ongoing actions which compounds the decision-making challenge.
Author Summary
It combines dynamic neural field theory with stochastic optimal control theory, and includes circuitry for perception, eXpected reward, effort cost and decision-making .
Discussion
Classic serial theories, such as the “goods-based” model, suggest that decision-making is an independent cognitive process from the sensorimotor processes that implement the resulting choice [1].
Discussion
These findings suggest that sensorimotor and midbrain regions may be causally involved in the process of decision-making and action-selection.
Discussion
For instance, studies in oculomotor decision-making suggest that LIP neurons accumulate the evidence associated with the alternative options and the accumulated activity of these neurons is compared by “decision brain areas” to select an option [13, 56].
Introduction
In such situations, the goals dynamically compete during movement, and it is not possible to clearly separate goal decision-making from action selection.
Introduction
In the current study, we propose a distributed neurodynamical framework that models the neural basis of decision-making between actions.
Introduction
It builds on successful models in dynamic neural field theory [25] and stochastic optimal control theory [26] and includes circuitry for perception, expected reward, selection bias, decision-making and effort cost.
Visuomotor decisions with competing alternatives
We show how the proposed computational model can be extended to involve motor plan formation DNFs for various effectors which interact competitively to implement effector as well as spatial decision-making .
decision-making is mentioned in 12 sentences in this paper.
Topics mentioned in this paper:
Adrien Wohrer, Christian K. Machens
Abstract
We discuss applications to experimental recordings in classic sensory decision-making tasks, which will hopefully provide new insights into the nature of perceptual integration.
Author Summary
This article deals With the interpretation of neural activities during perceptual decision-making tasks, Where animals must assess the value of a sensory stimulus and take a decision on the basis of their percept.
Discussion
We have proposed a framework to interpret sensitivity and choice signals in a standard model of perceptual decision-making .
Experimental measures of behavior and neural activities
We will study the formation of percepts in the context of perceptual decision-making experiments (Fig.
Experimental measures of behavior and neural activities
For concreteness, we will mostly focus on these discrimination tasks, although the general framework can be applied to arbitrary perceptual decision-making tasks.
Experimental statistics of neural activity and choice
Classic measures in decision-making experiments can be interpreted as estimates of the first-and second-order statistics of choice c and recorded spike trains ri(t), across all trials with a fixed stimulus value 5:
Introduction
These questions are central to our understanding of percept formation and decision-making in the brain and have been the focus of much previous work [1].
Introduction
Many studies have sought to address these problems by studying animals that perform simple, perceptual decision-making tasks [2, 3].
decision-making is mentioned in 8 sentences in this paper.
Topics mentioned in this paper:
Adrian M. Haith, David M. Huberdeau, John W. Krakauer
Abrupt and gradual shifts in reach direction as a consequence of optimal control under goal uncertainty
We combined this decision-making process with an optimal control model of movement generation.
Abrupt and gradual shifts in reach direction as a consequence of optimal control under goal uncertainty
Paralleling standard models of decision-making [3,26], rt represents the log odds ratio of the belief pt that the initial target is the true target location: rt 2 log (11’; ).
Abstract
Our results and theory suggest a more integrated view of decision-making and movement planning in which the primary bottleneck to generating a movement is deciding upon task goals.
Implications for neural representations of movement planning and execufion
Indeed, the state of motor areas appears to continuously track belief state during decision-making tasks [49,50].
Limitations of the model
Additional sources of asymmetry may arise from intrinsic biases in subjects’ decision-making processes; subjects may be inherently biased against changing their minds [34].
Optimal action selection amid evolving uncertainty about task goals
As is commonly assumed in decision-making models [3,26], we model rt as following a Gaussian random walk: n+1 N N (rt, 03).
Optimal action selection amid evolving uncertainty about task goals
In models of decision-making , the stochastic nature of rt reflects a distribution over stimuli that the subject may have perceived in a given trial.
decision-making is mentioned in 7 sentences in this paper.
Topics mentioned in this paper:
Nathan F. Lepora, Giovanni Pezzulo
Author Summary
It thus combines two disconnected research streams, decision-making and action control in a manner consistent With theoretical and psychological arguments for embodied cognition.
Discussion
Here we presented a general framework highlighting the importance of action for decision; within this framework, specific models can be designed and tested that include mechanisms such as action preparation and commitment that are currently not considered or considered only partially in current theories of decision-making .
Discussion
These findings cannot be explained by current parallel models (not even the “changes of mind” model of [23]) because they lack a mechanism for action preparation and use the evolving sensory representation only for decision-making and not also for movement preparation and planning.
Embodied choice
Differences between parallel (continuous flow) and embodied choice models of decision-making .
Parallel decision and action: the continuous flow model
Successive EEG and neurophysiological studies of decision-making consistently found a covert preparation of multiple motor plans in parallel, providing a strong support for parallel views of human information processing [12—15].
Parallel decision and action: the continuous flow model
Differences between serial and parallel models of decision-making .
decision-making is mentioned in 6 sentences in this paper.
Topics mentioned in this paper:
Miriam C. Klein-Flügge, Steven W. Kennerley, Ana C. Saraiva, Will D. Penny, Sven Bestmann
Abstract
Strikingly, it remains largely unclear how humans evaluate rewards when these are tied to energetic costs, despite the surge of interest in the neural basis of effort-guided decision-making and the prevalence of disorders showing a diminished willingness to exert effort (e.g., depression).
Author Summary
Our model will be important for characterizing decision-making deficits in clinical disorders characterized by behavioral inactivity.
Introduction
Understanding how different decision costs influence human reward discounting has obvious implications for economic decisions, and for clinical disorders, such as anxiety and impulsivity disorders, depression, gambling, and addiction [14—21], in which deficits in cost-benefit decision-making are hallmark features of the disease.
Introduction
These dissociable psychological constructs are supported by both neurophysiological and neuropsychological data: lesions of anterior cingulate cortex (ACC)—an area implicated in de-cision-making and action selection which connects strongly to the motor system—cause deficits in effort-based, but not delay-based, choice behavior, while lesions to the orbitofrontal cortex (OFC)—an area implicated in reward processing but that does not connect with the motor system—cause deficits in delay-based, but not effort-based, decision-making [46].
Introduction
The hyperbolic effect of delay discounting has been used extensively as a model for self-con-trol and provides a powerful tool to quantify decision-making differences in the normal and clinical populations (e.g., impulsivity, addiction), and even as a predictor of financial mismanagement [47—56].
decision-making is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Giles W. Story, Ivo Vlaev, Peter Dayan, Ben Seymour, Ara Darzi, Raymond J. Dolan
Author Summary
We show that sequential decision-making behavior cannot easily be predicted from the results of simple one-off choices made at the beginning of the task.
Discussion
The prominent tendencies to either save relief or to spread relief across time here may have implications for dynamic health-related decision-making in the field.
Discussion
Applied measures of choice over time have tended to focus exclusively on one-off choice paradigms [50—53], and the modelling of dynamic decision-making tasks suggests a novel and quantitatively rich behavioral predictor.
decision-making is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: