Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning
Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning
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DOI:
10.1016/j.neuron.2013.09.009
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发表时间:
2013-10-16
期刊:
影响因子:
16.2
通讯作者:
Stephan, Klaas E.
中科院分区:
文献类型:
--
作者:
Iglesias, Sandra;Mathys, Christoph;Stephan, Klaas E.
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for predicting sensory inputs and inferring their underlying causes, e.g., the probabilistic structure of the environment and its volatility. Notably, PEs at different hierarchical levels may be encoded by different neuromodulatory transmitters. Here, we tested this possibility in computational fMRI studies of audio-visual learning. Using a hierarchical Bayesian model, we found that low-level PEs about visual stimulus outcome were reflected by widespread activity in visual and supra-modal areas but also in the midbrain. In contrast, high-level PEs about stimulus probabilities were encoded by the basal forebrain. These findings were replicated in two groups of healthy volunteers. While our fMRI measures do not reveal the exact neuron types activated in midbrain and basal forebrain, they suggest a dichotomy between neuromodulatory systems, linking dopamine to low-level PEs about stimulus outcome and acetylcholine to more abstract PEs about stimulus probabilities.