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A neuro-computational model of sequence learning in macaques: the Simultaneous Chaining Paradigm

机译:猕猴序列学习的神经计算模型:同时链接范式

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摘要

We present a novel model, SCP1, of monkey sequence learning that takes the processes of stimulus recognition and motor planning seriously in addressing a robust dataset on list learning obtained through the Simultaneous Chaining Paradigm (SCP). Strikingly, SCP violates stimulus-response (S-R) mappings in that after several different lists are learned, monkeys are able to conserve this learning on a new list which is conserved in the sense that the jth element is specified as the jth element of any one of the previously learned lists. We demonstrate list acquisition as a result of multiple concurrent learning processes that together contribute to competent performance. In addition to reproducing behavioral results, we offer observations linking the work to macaque neurophysiology.
机译:我们提出了一种猴子序列学习的新模型SCP1,该模型认真对待了刺激识别和运动计划的过程,以解决通过同时链接范式(SCP)获得的列表学习中的可靠数据集。令人惊讶的是,SCP违反了刺激-响应(SR)映射,因为在学习了几个不同的列表后,猴子能够将学习保留在新的列表上,在将第j个元素指定为任何一个元素的第j个元素的意义上,猴子得以保留先前学习的列表。我们展示了列表获取是由于多个并发的学习过程共同促进了胜任的表现。除了复制行为结果,我们还提供将工作与猕猴神经生理学联系起来的观察结果。

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