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Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information.Sure enough: efficient Bayesian learning and choice.Correction: A Unifying Probabilistic View of Associative Learning.Dopamine, Inference, and Uncertainty.Context-dependent learning and causal structure.Model-based predictions for dopamine.Human Pavlovian fear conditioning conforms to probabilistic learningNeural Computations Underlying Causal Structure LearningBeyond Trial-Based Paradigms: Continuous Behavior, Ongoing Neural Activity, and Natural Stimuli
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description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
A Unifying Probabilistic View of Associative Learning
@ast
A Unifying Probabilistic View of Associative Learning
@en
type
label
A Unifying Probabilistic View of Associative Learning
@ast
A Unifying Probabilistic View of Associative Learning
@en
prefLabel
A Unifying Probabilistic View of Associative Learning
@ast
A Unifying Probabilistic View of Associative Learning
@en
P2860
P1476
A Unifying Probabilistic View of Associative Learning
@en
P2093
Samuel J Gershman
P2860
P304
P356
10.1371/JOURNAL.PCBI.1004567
P577
2015-11-04T00:00:00Z