2022
DOI: 10.1016/j.neuron.2022.05.021
|View full text |Cite
|
Sign up to set email alerts
|

Neural mechanisms of credit assignment for inferred relationships in a structured world

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

6
17
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 18 publications
(23 citation statements)
references
References 78 publications
6
17
0
Order By: Relevance
“…3). These findings were consistent with the previous proposal that the mOFC and lOFC collectively responded to the same decision-related variables (Suzuki et al, 2017;Witkowski et al, 2022;Xue et al, 2022) and this information influenced the final decisions (Kobayashi et al, 2022;Setogawa et al, 2019).…”
Section: Representation Of the Inferred Outcomes In The Mofc And Lofcsupporting
confidence: 92%
See 1 more Smart Citation
“…3). These findings were consistent with the previous proposal that the mOFC and lOFC collectively responded to the same decision-related variables (Suzuki et al, 2017;Witkowski et al, 2022;Xue et al, 2022) and this information influenced the final decisions (Kobayashi et al, 2022;Setogawa et al, 2019).…”
Section: Representation Of the Inferred Outcomes In The Mofc And Lofcsupporting
confidence: 92%
“…However, several studies did not find functional specializations of these two subregions in decision-making and showed that both subregions represent the subjective value (Suzuki et al, 2017) as well as the health/taste valuation (Xue et al, 2022). Moreover, several studies that did not intentionally distinguish between general and specific codings also found that both the OFC subregions represented and tracked inferred outcomes Witkowski et al, 2022). Therefore, the variability in the previous findings indicates that it is necessary to investigate the exact information representation of the mOFC and lOFC in decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…The most flexible system for assigning utility to the environment or one's actions is model-based learning. At the computational level, model-based RL requires a more complete understanding of the environment structure [5][6][7][8]. Interactions between midbrain dopamine areas and the striatum are thought to provide the substrate for reward predictions (value), which could largely influence goal-directed processes.…”
Section: ½1mentioning
confidence: 99%
“…This type of error signal is distinct from reward prediction error, and encodes discrepancies between an agent's expectation about which stimulus will occur and which stimulus actually occurs, irrespective of the amount of reward or value involved. Such error signals have been found to be present in many brain areas in human fMRI studies, including a frontoparietal network encompassing dorsomedial prefrontal cortex, as well as in dopaminergic regions of the midbrain, the OFC and striatum (Gläscher et al 2010, Rushworth et al 2011, Lee et al 2014, Howard & Kahnt 2018, Witkowski et al 2022. In rodents, dopamine neurons themselves have been suggested to be sensitive to violations in predicted identity beyond value, and are even found to be necessary for the acquisition of learned predictions about stimulus identity (Chang et al 2017, Takahashi et al 2017.…”
Section: Introductionmentioning
confidence: 99%
“…Such error signals have been found to be present in many brain areas in human fMRI studies, including a frontoparietal network encompassing dorsomedial prefrontal cortex, as well as in dopaminergic regions of the midbrain, the OFC and striatum. 23,30,[32][33][34][35] In rodents, dopamine neurons themselves have been suggested to be sensitive to violations in predicted identity beyond value, and are even found to be necessary for the acquisition of learned predictions about stimulus identity. 29,36 The goal of the present study was to investigate neural representations of multiple forms of Pavlovian associative learning at the cellular level in humans.…”
Section: Introductionmentioning
confidence: 99%