scholarly journals Ventral Striatum and the Evaluation of Memory Retrieval Strategies

2014 ◽  
Vol 26 (9) ◽  
pp. 1928-1948 ◽  
Author(s):  
David Badre ◽  
Sophie Lebrecht ◽  
David Pagliaccio ◽  
Nicole M. Long ◽  
Jason M. Scimeca
Keyword(s):  
Decision Making ◽  
Memory Retrieval ◽  
Ventral Striatum ◽  
Semantic Category ◽  
Relevant Information ◽  
Decision Task ◽  
Drift Diffusion ◽  
Retrieval Strategies ◽  
Human Participants ◽  
The Brain

Adaptive memory retrieval requires mechanisms of cognitive control that facilitate the recovery of goal-relevant information. Frontoparietal systems are known to support control of memory retrieval. However, the mechanisms by which the brain acquires, evaluates, and adapts retrieval strategies remain unknown. Here, we provide evidence that ventral striatal activation tracks the success of a retrieval strategy and correlates with subsequent reliance on that strategy. Human participants were scanned with fMRI while performing a lexical decision task. A rule was provided that indicated the likely semantic category of a target word given the category of a preceding prime. Reliance on the rule improved decision-making, as estimated within a drift diffusion framework. Ventral striatal activation tracked the benefit that relying on the rule had on decision-making. Moreover, activation in ventral striatum correlated with a participant's subsequent reliance on the rule. Taken together, these results support a role for ventral striatum in learning and evaluating declarative retrieval strategies.

scholarly journals Flexible categorization in perceptual decision making

2020 ◽  
Author(s):  
Genís Prat-Ortega ◽  
Klaus Wimmer ◽  
Alex Roxin ◽  
Jaime de la Rocha
Keyword(s):  
Decision Making ◽  
Large Body ◽  
Network Models ◽  
Perceptual Decision Making ◽  
Drift Diffusion ◽  
Perceptual Decision ◽  
Attractor Dynamics ◽  
Attractor Model ◽  
Winner Take All ◽  
The Brain

AbstractPerceptual decisions require the brain to make categorical choices based on accumulated sensory evidence. The underlying computations have been studied using either phenomenological drift diffusion models or neurobiological network models exhibiting winner-take-all attractor dynamics. Although both classes of models can account for a large body of experimental data, it remains unclear to what extent their dynamics are qualitatively equivalent. Here we show that, unlike the drift diffusion model, the attractor model can operate in different integration regimes: an increase in the stimulus fluctuations or the stimulus duration promotes transitions between decision-states leading to a crossover between weighting mostly early evidence (primacy regime) to weighting late evidence (recency regime). Between these two limiting cases, we found a novel regime, which we name flexible categorization, in which fluctuations are strong enough to reverse initial categorizations, but only if they are incorrect. This asymmetry in the reversing probability results in a non-monotonic psychometric curve, a novel and distinctive feature of the attractor model. Finally, we show psychophysical evidence for the crossover between integration regimes predicted by the attractor model and for the relevance of this new regime. Our findings point to correcting transitions as an important yet overlooked feature of perceptual decision making.

scholarly journals Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making

2018 ◽  
Author(s):  
Kyle Dunovan ◽  
Catalina Vich ◽  
Matthew Clapp ◽  
Timothy Verstynen ◽  
Jonathan Rubin
Keyword(s):  
Decision Making ◽  
Basal Ganglia ◽  
Diffusion Model ◽  
Process Models ◽  
Decision Task ◽  
Drift Diffusion Model ◽  
Indirect Pathway ◽  
Drift Diffusion ◽  
Pathway Activity ◽  
Evidence Accumulation

AbstractCortico-basal-ganglia-thalamic (CBGT) networks are critical for adaptive decision-making, yet how changes to circuit-level properties impact cognitive algorithms remains unclear. Here we explore how dopaminergic plasticity at corticostriatal synapses alters competition between striatal pathways, impacting the evidence accumulation process during decision-making. Spike-timing dependent plasticity simulations showed that dopaminergic feedback based on rewards modified the ratio of direct and indirect corticostriatal weights within opposing action channels. Using the learned weight ratios in a full spiking CBGT network model, we simulated neural dynamics and decision outcomes in a reward-driven decision task and fit them with a drift diffusion model. Fits revealed that the rate of evidence accumulation varied with inter-channel differences in direct pathway activity while boundary height varied with overall indirect pathway activity. This multi-level modeling approach demonstrates how complementary learning and decision computations can emerge from corticostriatal plasticity.Author summaryCognitive process models such as reinforcement learning (RL) and the drift diffusion model (DDM) have helped to elucidate the basic algorithms underlying error-corrective learning and the evaluation of accumulating decision evidence leading up to a choice. While these relatively abstract models help to guide experimental and theoretical probes into associated phenomena, they remain uninformative about the actual physical mechanics by which learning and decision algorithms are carried out in a neurobiological substrate during adaptive choice behavior. Here we present an “upwards mapping” approach to bridging neural and cognitive models of value-based decision-making, showing how dopaminergic feedback alters the network-level dynamics of cortico-basal-ganglia-thalamic (CBGT) pathways during learning to bias behavioral choice towards more rewarding actions. By mapping “up” the levels of analysis, this approach yields specific predictions about aspects of neuronal activity that map to the quantities appearing in the cognitive decision-making framework.

Spontaneous Neural Fluctuations Predict Decisions to Attend

2014 ◽  
Vol 26 (11) ◽  
pp. 2578-2584 ◽  
Author(s):  
Jesse J. Bengson ◽  
Todd A. Kelley ◽  
Xiaoke Zhang ◽  
Jane-Ling Wang ◽  
George R. Mangun
Keyword(s):  
Decision Making ◽  
Neural Activity ◽  
Intrinsic Property ◽  
Alternative View ◽  
Alpha Band ◽  
Band Power ◽  
Trial Basis ◽  
Human Participants ◽  
Neural Signaling ◽  
The Brain

Ongoing variability in neural signaling is an intrinsic property of the brain. Often this variability is considered to be noise and ignored. However, an alternative view is that this variability is fundamental to perception and cognition and may be particularly important in decision-making. Here, we show that a momentary measure of occipital alpha-band power (8–13 Hz) predicts choices about where human participants will focus spatial attention on a trial-by-trial basis. This finding provides evidence for a mechanistic account of decision-making by demonstrating that ongoing neural activity biases voluntary decisions about where to attend within a given moment.

scholarly journals Alertness modulates perceptual decision-making

2020 ◽  
Author(s):  
Sridhar R. Jagannathan ◽  
Corinne A. Bareham ◽  
Tristan A. Bekinschtein
Keyword(s):  
Decision Making ◽  
Neural Dynamics ◽  
External Information ◽  
Perceptual Decision Making ◽  
Drift Diffusion ◽  
Perceptual Decision ◽  
Diffusion Modelling ◽  
Human Participants ◽  
Multivariate Pattern ◽  
Work Done

ABSTRACTThe ability to make decisions based on external information, prior knowledge and context is a crucial aspect of cognition and it may determine the success and survival of an organism. Despite extensive and detailed work done on the decision making mechanisms, the understanding of the effects of arousal remain limited. Here we characterise behavioural and neural dynamics of decision making in awake and low alertness periods to characterise the compensatory signatures of the cognitive system when arousal decreases. We used an auditory tone-localisation task in human participants under conditions of fully awake and low arousal. Behavioural dynamics analyses using psychophysics, signal detection theory and drift-diffusion modelling showed slower responses, decreased performance and a lower rate of evidence accumulation due to alertness fluctuations. To understand the modulation in neural dynamics we used multivariate pattern analysis (decoding), identifying a shift in the temporal and spatial signatures involved. Finally, we connected the computational parameters identified in the drift diffusion modelling with neural signatures, capturing the effective lag exerted by alertness in the neurocognitive system underlying decision making. These results define the reconfiguration of the brain networks, regions and dynamics needed for the implementation of perceptual decision making, revealing mechanisms of resilience of cognition when challenged by decreases in arousal.

Managerial decision making under specific emotions

2015 ◽  
Vol 30 (7) ◽  
pp. 861-874 ◽  
Author(s):  
Alexandre A. Bachkirov
Keyword(s):  
Decision Making ◽  
Human Resources Management ◽  
Relevant Information ◽  
Future Research ◽  
Decision Task ◽  
Emotional States ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Content Type ◽  
Processing Effects

Purpose – The purpose of this paper is to investigate decision-processing effects of incidental emotions in managerial decision-making situations. Design/methodology/approach – A complex multi-attribute, multi-alternative decision task related to international human resources management is used as a research vehicle. The data are obtained by means of an electronic information board. Findings – Happiness and anger cause the decision maker to process less decision-relevant information, whereas fear activates more detail-oriented processing. The results are explained within the valence model and cognitive-appraisal framework. Research limitations/implications – A boundary condition of the study is the level of induced emotions. Processing effects of extremely high levels of emotions are not examined, which necessarily limits the generalizability of the findings. Also, the experiment focusses on the decision-processing effects of single isolated emotions extracted by manipulations; future research needs to examine decision-making implications of an entire emotion episode, which is likely to contain emotion mixtures. Practical implications – For managers, this study demonstrates the importance of being mindful of how incidental emotional states can bias choice processing in complex managerial decisions. Originality/value – This study extends earlier organizational research by focussing on decision-making consequences of emotion, rather than those of mood or stress. It brings together research on incidental emotions and process-tracing methodologies, thereby allowing for more direct assessment of the observed effects. Decision-processing consequences of emotion are shown to persist throughout a content-rich managerial decision task without being neutralized by an intensive cognitive engagement.

scholarly journals Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling

2019 ◽  
Vol 15 (2) ◽  
pp. e1006803 ◽  
Author(s):  
Nitzan Shahar ◽  
Tobias U. Hauser ◽  
Michael Moutoussis ◽  
Rani Moran ◽  
Mehdi Keramati ◽  
...  
Keyword(s):  
Decision Making ◽  
Reaction Times ◽  
Decision Task ◽  
Diffusion Modeling ◽  
Drift Diffusion ◽  
Two Stage ◽  
Model Based

scholarly journals Dopamine modulates dynamic decision-making during foraging

2019 ◽  
Author(s):  
Campbell Le Heron ◽  
Nils Kolling ◽  
Olivia Plant ◽  
Annika Kienast ◽  
Rebecca Janska ◽  
...  
Keyword(s):  
Decision Making ◽  
Opportunity Cost ◽  
Dopamine D2 Receptor ◽  
D2 Receptor ◽  
Receptor Activity ◽  
Dynamic Decision Making ◽  
Healthy Human ◽  
Pharmacological Manipulation ◽  
Human Participants ◽  
The Brain

ABSTRACTThe mesolimbic dopaminergic system exerts a crucial influence on incentive processing. However, the contribution of dopamine in dynamic, ecological situations where reward rates vary, and decisions evolve over time, remains unclear. In such circumstances, current (foreground) reward accrual needs to be compared continuously with potential rewards that could be obtained by travelling elsewhere (background reward rate), in order to determine the opportunity cost of staying versus leaving. We hypothesised that dopamine specifically modulates the influence of background – but not foreground – reward information when making a dynamic comparison of these variables for optimal behaviour. On a novel foraging task based on an ecological account of animal behaviour (marginal value theorem), human participants were required to decide when to leave locations in situations where foreground rewards depleted at different rates, either in rich or poor environments with high or low background rates. In line with theoretical accounts, people’s decisions to move from current locations were independently modulated by both foreground and background reward rates. Pharmacological manipulation of dopamine D2 receptor activity using the agonist cabergoline significantly affected decisions to move on, specifically modulating the effect of background but not foreground rewards rates. In particular, when on cabergoline, people left patches in poor environments much earlier. These results demonstrate a role of dopamine in signalling the opportunity cost of rewards, not value per se. Using this ecologically derived framework we uncover a specific mechanism by which D2 dopamine receptor activity modulates decision-making when foreground and background reward rates are dynamically compared.Significance statementMany decisions, across economic, political and social spheres, involve choices to “leave”. Such decisions depend on a continuous comparison of a current location’s value, with that of other locations you could move on to. However, how the brain makes such decisions is poorly understood. Here, we developed a computerized task, based around theories of how animals make decisions to move on when foraging for food. Healthy human participants had to decide when to leave collecting financial rewards in a location, and travel to collect rewards elsewhere. Using a pharmacological manipulation, we show that the activity of dopamine in the brain modulates decisions to move on, with people valuing other locations differently depending on their dopaminergic state.

scholarly journals The interplay between multisensory integration and perceptual decision making

2019 ◽  
Author(s):  
Manuel R. Mercier ◽  
Celine Cappe
Keyword(s):  
Decision Making ◽  
Multisensory Integration ◽  
Multisensory Processing ◽  
Optimal Decision ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Human Participants ◽  
Sensory Encoding ◽  
Optimal Decision Making ◽  
The Brain

AbstractFacing perceptual uncertainty, the brain combines information from different senses to shape optimal decision making and to guide behavior. Despite overlapping neural networks underlying multisensory integration and perceptual decision making, the process chain of decision formation has been studied mostly in unimodal contexts and is thought to be supramodal. To reveal whether and how multisensory processing interplay with perceptual decision making, we devised a paradigm mimicking naturalistic situations where human participants were exposed to continuous cacophonous audiovisual inputs containing an unpredictable relevant signal cue in one or two modalities. Using multivariate pattern analysis on concurrently recorded EEG, we decoded the neural signatures of sensory encoding and decision formation stages. Generalization analyses across conditions and time revealed that multisensory signal cues were processed faster during both processing stages. We further established that acceleration of neural dynamics was directly linked to two distinct multisensory integration processes and associated with multisensory benefit. Our results, substantiated in both detection and categorization tasks, provide evidence that the brain integrates signals from different modalities at both the sensory encoding and the decision formation stages.

A Bird in the Hand Isn’t Good for Long

2018 ◽  
Vol 65 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Stefan Scherbaum ◽  
Simon Frisch ◽  
Maja Dshemuchadse
Keyword(s):  
Decision Making ◽  
Cognitive Control ◽  
The Other ◽  
Decision Task ◽  
Short Term ◽  
Additional Time ◽  
Control Processes ◽  
Folk Wisdom ◽  
Study Participants ◽  
Insight Into

Abstract. Folk wisdom tells us that additional time to make a decision helps us to refrain from the first impulse to take the bird in the hand. However, the question why the time to decide plays an important role is still unanswered. Here we distinguish two explanations, one based on a bias in value accumulation that has to be overcome with time, the other based on cognitive control processes that need time to set in. In an intertemporal decision task, we use mouse tracking to study participants’ responses to options’ values and delays which were presented sequentially. We find that the information about options’ delays does indeed lead to an immediate bias that is controlled afterwards, matching the prediction of control processes needed to counter initial impulses. Hence, by using a dynamic measure, we provide insight into the processes underlying short-term oriented choices in intertemporal decision making.

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