scholarly journals Anterior prefrontal cortex mediates implicit inferences

2018 ◽  
Author(s):  
Martijn E. Wokke ◽  
Tony Ro
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Decision Process ◽  
Explicit Knowledge ◽  
Real World Data ◽  
Predictive Information ◽  
Cueing Task ◽  
Eeg Recordings ◽  
Anterior Prefrontal Cortex ◽  
The Brain

AbstractFrequent experience with regularities in our environment allows us to use predictive information to guide our decision process. However, contingencies in our environment are not always explicitly present and sometimes need to be inferred. Heretofore, it remained unknown how predictive information guides decision-making when explicit knowledge is absent and how the brain shapes such implicit inferences. In the present experiment, participants performed a discrimination task in which a target stimulus was preceded by a predictive cue. Critically, participants had no explicit knowledge that some of the cues signaled an upcoming target, allowing us to investigate how implicit inferences emerge and guide decision-making. Despite unawareness of the cue-target contingencies, participants were able to use implicit information to improve performance. Concurrent EEG recordings demonstrate that implicit inferences rely upon interactions between internally and externally oriented networks, whereby anterior prefrontal regions inhibit right parietal cortex under internal implicit control.SignificanceRegularities in our environment can guide our behavior providing information about upcoming events. Interestingly, such predictive information does not need to be explicitly represented in order to effectively guide our decision process. Here, we show how the brain engages in such real-world ‘data mining’ and how implicit inferences emerge. We employed a contingency cueing task and demonstrate that implicit inferences influenced responses to subsequent targets despite a lack of awareness of cue-target contingencies. Further, we show that these implicit inferences emerge through interactions between internally- and externally-oriented neural networks. The current results highlight the importance of the anterior prefrontal cortex in transforming external events into predictive internalized models of the world.

scholarly journals Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

2018 ◽  
Author(s):  
Michael Pereira ◽  
Nathan Faivre ◽  
Iñaki Iturrate ◽  
Marco Wirthlin ◽  
Luana Serafini ◽  
...  
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Healthy Volunteers ◽  
Multimodal Imaging ◽  
Inferior Frontal Gyrus ◽  
Anterior Insula ◽  
Generative Model ◽  
Evidence Accumulation ◽  
Perceptual Judgments ◽  
Anterior Prefrontal Cortex

AbstractThe human capacity to compute the likelihood that a decision is correct - known as metacognition - has proven difficult to study in isolation as it usually co-occurs with decision-making. Here, we isolated post-decisional from decisional contributions to metacognition by combining a novel paradigm with multimodal imaging. Healthy volunteers reported their confidence in the accuracy of decisions they made or decisions they observed. We found better metacognitive performance for committed vs. observed decisions, indicating that committing to a decision informs confidence. Relying on concurrent electroencephalography and hemodynamic recordings, we found a common correlate of confidence following committed and observed decisions in the inferior frontal gyrus, and a dissociation in the anterior prefrontal cortex and anterior insula. We discuss these results in light of decisional and post-decisional accounts of confidence, and propose a generative model of confidence in which metacognitive performance naturally improves when evidence accumulation is constrained upon committing a decision.

scholarly journals Exploring the Inner Workings of Neuron Circuits That Exhibit Persistent Activity To Explain How Working Memory and Executive Function Are Implemented in The Brain

2021 ◽  
Author(s):  
Paul Gomez
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Prefrontal Cortex ◽  
Executive Function ◽  
Memory Task ◽  
Persistent Activity ◽  
Storage Mechanism ◽  
Minimum Number ◽  
Task Processing ◽  
The Brain

In this research we explore in detail how a phenomenon called sustained persistent activity is achieved by circuits of interconnected neurons. Persistent activity is a phenomenon that has been extensively studied (Papoutsi et al. 2013; Kaminski et. al. 2017; McCormick et al. 2003; Rahman, and Berger, 2011). Persistent activity consists in neuron circuits whose spiking activity remains even after the initial stimuli are removed. Persistent activity has been found in the prefrontal cortex (PFC) and has been correlated to working memory and decision making (Clayton E. Curtis and Daeyeol Lee, 2010). We go beyond the explanation of how persistent activity happens and show how arrangements of those basic circuits encode and store data and are used to perform more elaborated tasks and computations. The purpose of the model we propose here is to describe the minimum number of neurons and their interconnections required to explain persistent activity and how this phenomenon is actually a fast storage mechanism required for implementing working memory, task processing and decision making.

scholarly journals Activation of Prefrontal Cortex in Process of Oral and Finger Shape Discrimination: fNIRS Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Noriyuki Narita ◽  
Kazunobu Kamiya ◽  
Sunao Iwaki ◽  
Tomohiro Ishii ◽  
Hiroshi Endo ◽  
...  
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Near Infrared ◽  
Shape Discrimination ◽  
Motor Sequence ◽  
Functional Near Infrared Spectroscopy ◽  
Significant Difference ◽  
Dorsolateral Prefrontal ◽  
Reliable Representation ◽  
The Brain

BackgroundThe differences in the brain activities of the insular and the visual association cortices have been reported between oral and manual stereognosis. However, these results were not conclusive because of the inherent differences in the task performance-related motor sequence conditions. We hypothesized that the involvement of the prefrontal cortex may be different between finger and oral shape discrimination. This study was conducted to clarify temporal changes in prefrontal activities occurring in the processes of oral and finger tactual shape discrimination using prefrontal functional near-infrared spectroscopy (fNIRS).MethodsSix healthy right-handed males [aged 30.8 ± 8.2 years (mean ± SD)] were enrolled. Measurements of prefrontal activities were performed using a 22-channel fNIRS device (ETG-100, Hitachi Medical Co., Chiba, Japan) during experimental blocks that included resting state (REST), nonsense shape discrimination (SHAM), and shape discrimination (SHAPE).ResultsNo significant difference was presented with regard to the number of correct answers during trials between oral and finger SHAPE discrimination. Additionally, a statistical difference for the prefrontal fNIRS activity between oral and finger shape discrimination was noted in CH 1. Finger SHAPE, as compared with SHAM, presented a temporally shifting onset and burst in the prefrontal activities from the frontopolar area (FPA) to the orbitofrontal cortex (OFC). In contrast, oral SHAPE as compared with SHAM was shown to be temporally overlapped in the onset and burst of the prefrontal activities in the dorsolateral prefrontal cortex (DLPFC)/FPA/OFC.ConclusionThe prefrontal activities temporally shifting from the FPA to the OFC during SHAPE as compared with SHAM may suggest the segregated serial prefrontal processing from the manipulation of a target image to the decision making during the process of finger shape discrimination. In contrast, the temporally overlapped prefrontal activities of the DLPFC/FPA/OFC in the oral SHAPE block may suggest the parallel procession of the repetitive involvement of generation, manipulation, and decision making in order to form a reliable representation of target objects.

scholarly journals Individuals with ventromedial frontal damage have more unstable but still fundamentally transitive preferences

2018 ◽  
Author(s):  
Linda Q. Yu ◽  
Jason Dana ◽  
Joseph W. Kable
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Decision Process ◽  
Healthy Controls ◽  
Rational Decision ◽  
Rational Choices ◽  
The Brain ◽  
Intransitive Preferences ◽  
Rational Decisions

AbstractThough the ventromedial frontal lobes (VMF) are clearly important for decision-making, the precise causal role of the VMF in the decision process has still not yet fully been established. Previous studies have suggested that individuals with VMF damage violate a hallmark axiom of rational decisions by having intransitive preferences (i.e., preferring A to B, B to C, but C to A), as these individuals are more likely to make cyclical choices (i.e., choosing C over A after previously choosing A over B and B over C). However, these prior studies cannot properly distinguish between two possibilities regarding effects of VMF damage: are individuals with VMF damage prone to choosing irrationally, or are their preferences simply more variable? We had individuals with focal VMF damage, individuals with other frontal damage, and healthy controls make repeated choices across three categories – artwork, chocolate bar brands, and gambles. Using sophisticated tests of transitivity, we find that, without exception, individuals with VMF damage made rational decisions consistent with transitive preferences, even though they more frequently exhibit choice cycles due to a greater variability in their preferences across time. That is, the VMF is necessary for having strong and reliable preferences across time and context, but not for being a rational decision maker. We conclude that VMF damage affects the noisiness with which value is assessed, but not the consistency with which value is sought.Significance statementThe VMF is a part of the brain that is thought to be one of the most important for preference-based choice. Despite this, whether it is needed to make rational choices at all is unknown. Previous studies have not discriminated between different possibilities regarding the critical necessary role that the VMF plays in value-based choice. Our study shows that individuals with VMF damage still make rational decisions consistent with what they prefer, but their choices are more variable and less reliable. That is, the VMF is important for the noisiness with which value is assessed, but not the consistency with which value is sought. This result has widespread implications for rethinking the role of VMF in decision-making.

scholarly journals Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

2020 ◽  
Vol 117 (15) ◽  
pp. 8382-8390 ◽  
Author(s):  
Michael Pereira ◽  
Nathan Faivre ◽  
Iñaki Iturrate ◽  
Marco Wirthlin ◽  
Luana Serafini ◽  
...  
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Healthy Volunteers ◽  
Multimodal Imaging ◽  
Inferior Frontal Gyrus ◽  
Neural Correlates ◽  
Anterior Insula ◽  
Evidence Accumulation ◽  
Perceptual Judgments ◽  
Anterior Prefrontal Cortex

The human capacity to compute the likelihood that a decision is correct—known as metacognition—has proven difficult to study in isolation as it usually cooccurs with decision making. Here, we isolated postdecisional from decisional contributions to metacognition by analyzing neural correlates of confidence with multimodal imaging. Healthy volunteers reported their confidence in the accuracy of decisions they made or decisions they observed. We found better metacognitive performance for committed vs. observed decisions, indicating that committing to a decision may improve confidence. Relying on concurrent electroencephalography and hemodynamic recordings, we found a common correlate of confidence following committed and observed decisions in the inferior frontal gyrus and a dissociation in the anterior prefrontal cortex and anterior insula. We discuss these results in light of decisional and postdecisional accounts of confidence and propose a computational model of confidence in which metacognitive performance naturally improves when evidence accumulation is constrained upon committing a decision.

scholarly journals Inferred Model of the Prefrontal Cortex Activity Unveils Cell Assemblies and Memory Replay

2015 ◽  
Author(s):  
Gaia Tavoni ◽  
Ulisse Ferrari ◽  
Francesco Paolo Battaglia ◽  
Simona Cocco ◽  
Rémi Monasson
Keyword(s):  
Experimental Data ◽  
Decision Making ◽  
Prefrontal Cortex ◽  
Statistical Physics ◽  
Cell Assembly ◽  
Information Representation ◽  
Effective Coupling ◽  
Cell Assemblies ◽  
The Brain

Cell assemblies are thought to be the units of information representation in the brain, yet their detection from experimental data is arduous. Here, we propose to infer effective coupling networks and model distributions for the activity of simultaneously recorded neurons in prefrontal cortex, during the performance of a decision-making task, and during preceding and following sleep epochs. Our approach, inspired from statistical physics, allows us to define putative cell assemblies as the groups of co-activated neurons in the models of the three recorded epochs. It reveals the existence of task-related changes of the effective couplings between the sleep epochs. The assemblies which strongly coactivate during the task epoch are found to replay during subsequent sleep, in correspondence to the changes of the inferred network. Across sessions, a variety of different network scenarios is observed, providing insight in cell assembly formation and replay.

scholarly journals Geometry of neural computation unifies working memory and planning

2021 ◽  
Author(s):  
Daniel B. Ehrlich ◽  
John D. Murray
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Working Memory ◽  
Prefrontal Cortex ◽  
Human Behavior ◽  
Real World ◽  
Recurrent Neural Networks ◽  
Neural Computation ◽  
Neural Data ◽  
The Brain

Real-world tasks require coordination of working memory, decision making, and planning, yet these cognitive functions have disproportionately been studied as independent modular processes in the brain. Here we propose that contingency representations, defined as mappings for how future behaviors depend on upcoming events, can unify working memory and planning computations. We designed a task capable of disambiguating distinct types of representations. Our experiments revealed that human behavior is consistent with contingency representations, and not with traditional sensory models of working memory. In task-optimized recurrent neural networks we investigated possible circuit mechanisms for contingency representations and found that these representations can explain neurophysiological observations from prefrontal cortex during working memory tasks. Finally, we generated falsifiable predictions for neural data to identify contingency representations in neural data and to dissociate different models of working memory. Our findings characterize a neural representational strategy that can unify working memory, planning, and context-dependent decision making.

Economic Decision Making, Emotion, and Prefrontal Cortex

2016 ◽  
pp. 122-131 ◽  
Author(s):  
Salim Lahmiri
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Brain Regions ◽  
Economic Decision ◽  
Financial Decision Making ◽  
Economic Decision Making ◽  
Formal Framework ◽  
Financial Decision ◽  
The Relationship ◽  
The Brain

How diverse regions of the brain are coordinated to produce objective-directed decision is the essence of neuroeconomics. Indeed, the latter is a formal framework to describe the involvement of numerous brain regions including frontal, cingulate, parietal cortex, and striatum in economic and financial decision-making process. The purpose of this chapter is to explain the relationship between economic decision making and emotion on one hand, and the relationship between economic decision making and prefrontal cortex on the other hand.

Prefrontal Cortex

2017 ◽  
pp. 75-84
Author(s):  
Xiao-Jing Wang
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Prefrontal Cortex ◽  
Pyramidal Neurons ◽  
Synaptic Integration ◽  
Input Output ◽  
Cortical Areas ◽  
Inhibitory Circuit ◽  
Distinct Features ◽  
The Brain

The prefrontal cortex (PFC) circuits are characterized by several distinct features. First, the input–output connections of a PFC circuit with the rest of the brain are extraordinarily extensive. In the primates, pyramidal neurons in PFC are greatly more spinous than in the primary sensory areas, so they have a much larger capacity for synaptic integration. Second, PFC areas are endowed with strong intrinsic recurrent connections that are sufficient to generate reverberatory activity underlying working memory and decision-making. Third, excitation and inhibition are balanced dynamically. Unlike early sensory cortical areas, in the frontal areas of both monkey and mouse, the synaptic inhibitory circuit is predominated by GABAergic cell subclasses that are dedicated to controlling inputs to, rather than outputs from, pyramidal neurons, likely reflecting the functional demand of selectively gating input pathways into the PFC in accordance with the behavioral context and goals.

scholarly journals Bilateral recruitment of prefrontal cortex in working memory is associated with task demand but not with age

2017 ◽  
Vol 114 (5) ◽  
pp. E830-E839 ◽  
Author(s):  
Melanie S. Höller-Wallscheid ◽  
Peter Thier ◽  
Jörn K. Pomper ◽  
Axel Lindner
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Age Groups ◽  
Brain Regions ◽  
General Strategy ◽  
Cognitive Demands ◽  
Capacity Limits ◽  
Anterior Prefrontal Cortex ◽  
General Coping ◽  
The Brain

Elderly adults may master challenging cognitive demands by additionally recruiting the cross-hemispheric counterparts of otherwise unilaterally engaged brain regions, a strategy that seems to be at odds with the notion of lateralized functions in cerebral cortex. We wondered whether bilateral activation might be a general coping strategy that is independent of age, task content and brain region. While using functional magnetic resonance imaging (fMRI), we pushed young and old subjects to their working memory (WM) capacity limits in verbal, spatial, and object domains. Then, we compared the fMRI signal reflecting WM maintenance between hemispheric counterparts of various task-relevant cerebral regions that are known to exhibit lateralization. Whereas language-related areas kept their lateralized activation pattern independent of age in difficult tasks, we observed bilaterality in dorsolateral and anterior prefrontal cortex across WM domains and age groups. In summary, the additional recruitment of cross-hemispheric counterparts seems to be an age-independent domain-general strategy to master cognitive challenges. This phenomenon is largely confined to prefrontal cortex, which is arguably less specialized and more flexible than other parts of the brain.

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