A dual role for prediction error in associative learning.

A dual role for prediction error in associative learning.
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DOI:
10.1093/cercor/bhn161
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发表时间:
2009-05
期刊:
Cerebral cortex (New York, N.Y. : 1991)
影响因子:
--
通讯作者:
Stephan KE
Stephan KE
中科院分区:
其他
文献类型:
--
作者:
den Ouden HE;Friston KJ;Daw ND;McIntosh AR;Stephan KE

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面对丰富的感官环境,大脑必须学习跨感官领域的统计规律,以构建世界的因果模型。在此,我们利用功能性磁共振成像和动态因果建模(DCM)来提供神经生理学证据,证明即使在与任务无关的情况下,统计关联也能被学习。受试者在执行视听目标检测任务时会接触到干扰刺激。他们并不知道,听觉干扰物能预测后续视觉干扰物是否出现。我们使用雷斯克拉 - 瓦格纳(RW)模型对这些关联的偶然学习进行建模。初级视觉皮层和壳核的活动反映了依赖于学习的意外感:这些区域对未预测到的视觉刺激反应逐渐增强,对预测到的视觉刺激反应逐渐减弱。关键的是,即使视觉刺激未出现是令人意外的情况,也能观察到这种预测误差反应。我们通过将RW模型嵌入DCM来研究潜在机制,结果表明,随着时间推移,听觉到视觉的连接性会根据预测误差发生显著变化。因此,与感知的预测编码模型一致,联想学习是由依赖于预测误差的连接性变化所介导的。这些结果假定了预测误差在编码意外感和驱动联想可塑性方面的双重作用。
Confronted with a rich sensory environment, the brain must learn statistical regularities across sensory domains to construct causal models of the world. Here, we used functional magnetic resonance imaging and dynamic causal modeling (DCM) to furnish neurophysiological evidence that statistical associations are learnt, even when task-irrelevant. Subjects performed an audio-visual target-detection task while being exposed to distractor stimuli. Unknown to them, auditory distractors predicted the presence or absence of subsequent visual distractors. We modeled incidental learning of these associations using a Rescorla–Wagner (RW) model. Activity in primary visual cortex and putamen reflected learning-dependent surprise: these areas responded progressively more to unpredicted, and progressively less to predicted visual stimuli. Critically, this prediction-error response was observed even when the absence of a visual stimulus was surprising. We investigated the underlying mechanism by embedding the RW model into a DCM to show that auditory to visual connectivity changed significantly over time as a function of prediction error. Thus, consistent with predictive coding models of perception, associative learning is mediated by prediction-error dependent changes in connectivity. These results posit a dual role for prediction-error in encoding surprise and driving associative plasticity.
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