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Imaging the changing role of feedback during learning in decision-making.

机译:在决策过程中,了解反馈在学习过程中的角色变化。

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Learning from the outcome of decisions can be expected not only to change future decisions, but also our reaction to future outcomes. Using functional magnetic resonance imaging we investigated the neural responses of healthy subjects to feedback about choice outcomes before and after learning a response strategy which led to correct choices only. The task was designed so that losses were unavoidable even when all the choices made were correct. Subjects showed a distinct pattern of learning starting with an initial exploratory phase in which hypotheses about the correct strategy were generated and tested, followed by a phase of rapid strategy acquisition before reaching a final phase of proficiency. Neural activation was more pronounced during feedback processing in the exploratory phase than in the proficiency phase in a distributed network encompassing prefrontal and parietal areas as well as the striatum. These areas are involved in working memory processes, the management of uncertainty and the establishment of stimulus-outcome contingencies. Reduced activation during feedback processing following learning was not only observed within subjects across learning phases, but also between subjects with different learning speeds. Thus, controlled and automatic processing are characterised by differing amounts of activation in identical task-relevant areas. Furthermore, whereas the same brain regions coded for gains and losses, the activation following gains changed to a larger extent with learning than following losses. This suggests that positive prediction errors are more sensitive to increased reward predictability than are negative prediction errors.
机译:从决策结果中学习不仅可以改变未来的决策,而且可以期望我们对未来的结果做出反应。使用功能磁共振成像,我们研究了健康受试者的神经反应,以了解在学习仅导致正确选择的反应策略之前和之后关于选择结果的反馈。该任务经过精心设计,即使所有选择都是正确的,损失也不可避免。从最初的探索阶段开始,受试者会表现出独特的学习模式,在最初的探索阶段中,会生成并测试有关正确策略的假设,然后是快速掌握策略的阶段,直至达到熟练的最后阶段。在探索阶段的反馈处理过程中,神经激活比熟练阶段在包含前额叶和顶叶区域以及纹状体的分布式网络中更为明显。这些领域涉及工作记忆过程,不确定性的管理以及刺激结果偶然性的建立。在学习后的反馈过程中,不仅在跨学习阶段的科目内,而且在具有不同学习速度的科目之间也观察到激活减少。因此,受控和自动处理的特征是在相同的任务相关区域中激活量不同。此外,尽管相同的大脑区域编码了得失,但随着学习的增加,跟随学习的激活比跟随学习的变化更大。这表明,积极的预测错误比起消极的预测错误对奖励可预测性更敏感。

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