scholarly journals The Neural Mechanisms that Underlie Decision Making

2009 ◽  
pp. 417-424 ◽  
Author(s):  
Charles R. Gallistel
Author(s):  
Kess L. Folco ◽  
Daniel J. Fridberg ◽  
Lindsay R. Arcurio ◽  
Peter R. Finn ◽  
Julia R. Heiman ◽  
...  

2021 ◽  
Author(s):  
Drew C. Schreiner ◽  
Christian Cazares ◽  
Rafael Renteria ◽  
Christina M Gremel

Subjective experience is a powerful driver of decision-making and continuously accrues. However, most neurobiological studies constrain analyses to task-related variables and ignore how continuously and individually experienced internal, temporal, and contextual factors influence adaptive behavior during decision-making and the associated neural mechanisms. We show mice rely on learned information about recent and longer-term subjective experience of variables above and beyond prior actions and reward, including checking behavior and the passage of time, to guide self-initiated, self-paced, and self-generated actions. These experiential variables were represented in secondary motor cortex (M2) activity and its projections into dorsal medial striatum (DMS). M2 integrated this information to bias strategy-level decision-making, and DMS projections used specific aspects of this recent experience to plan upcoming actions. This suggests diverse aspects of experience drive decision-making and its neural representation, and shows premotor corticostriatal circuits are crucial for using selective aspects of experiential information to guide adaptive behavior.


Neuroscience ◽  
2013 ◽  
Vol 246 ◽  
pp. 362-374 ◽  
Author(s):  
H. Ohira ◽  
M. Matsunaga ◽  
H. Murakami ◽  
T. Osumi ◽  
S. Fukuyama ◽  
...  

2013 ◽  
Vol 133 (1) ◽  
pp. 134-145 ◽  
Author(s):  
Michael D. De Bellis ◽  
Lihong Wang ◽  
Sara R. Bergman ◽  
Richard H. Yaxley ◽  
Stephen R. Hooper ◽  
...  

2018 ◽  
Vol 115 (22) ◽  
pp. E5233-E5242 ◽  
Author(s):  
Amanda R. Arulpragasam ◽  
Jessica A. Cooper ◽  
Makiah R. Nuutinen ◽  
Michael T. Treadway

We are presented with choices each day about how to invest our effort to achieve our goals. Critically, these decisions must frequently be made under conditions of incomplete information, where either the effort required or possible reward to be gained is uncertain. Such choices therefore require the development of potential value estimates to guide effortful goal-directed behavior. To date, however, the neural mechanisms for this expectation process are unknown. Here, we used computational fMRI during an effort-based decision-making task where trial-wise information about effort costs and reward magnitudes was presented separately over time, thereby allowing us to model distinct effort/reward computations as choice-relevant information unfolded. We found that ventromedial prefrontal cortex (vmPFC) encoded expected subjective value. Further, activity in dorsal anterior cingulate (dACC) and anterior insula (aI) reflected both effort discounting as well as a subjective value prediction error signal derived from trial history. While prior studies have identified these regions as being involved in effort-based decision making, these data demonstrate their specific role in the formation and maintenance of subjective value estimates as relevant information becomes available.


2017 ◽  
Vol 29 (12) ◽  
pp. 2103-2113 ◽  
Author(s):  
Samuel J. Gershman ◽  
Jimmy Zhou ◽  
Cody Kommers

Imagination enables us not only to transcend reality but also to learn about it. In the context of reinforcement learning, an agent can rationally update its value estimates by simulating an internal model of the environment, provided that the model is accurate. In a series of sequential decision-making experiments, we investigated the impact of imaginative simulation on subsequent decisions. We found that imagination can cause people to pursue imagined paths, even when these paths are suboptimal. This bias is systematically related to participants' optimism about how much reward they expect to receive along imagined paths; providing feedback strongly attenuates the effect. The imagination effect can be captured by a reinforcement learning model that includes a bonus added onto imagined rewards. Using fMRI, we show that a network of regions associated with valuation is predictive of the imagination effect. These results suggest that imagination, although a powerful tool for learning, is also susceptible to motivational biases.


Neuron ◽  
2015 ◽  
Vol 86 (2) ◽  
pp. 591-602 ◽  
Author(s):  
Shinsuke Suzuki ◽  
Ryo Adachi ◽  
Simon Dunne ◽  
Peter Bossaerts ◽  
John P. O’Doherty

2010 ◽  
Vol 22 (10) ◽  
pp. 2357-2368 ◽  
Author(s):  
Pranjal H. Mehta ◽  
Jennifer Beer

Testosterone plays a role in aggressive behavior, but the mechanisms remain unclear. The present study tested the hypothesis that testosterone influences aggression through the OFC, a region implicated in self-regulation and impulse control. In a decision-making paradigm in which people chose between aggression and monetary reward (the ultimatum game), testosterone was associated with increased aggression following social provocation (rejecting unfair offers). The effect of testosterone on aggression was explained by reduced activity in the medial OFC. The findings suggest that testosterone increases the propensity toward aggression because of reduced activation of the neural circuitry of impulse control and self-regulation.


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