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  • 标题:A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing
  • 本地全文:下载
  • 作者:Valentin, Vivian V. ; Maddox, W. Todd ; Ashby, F. Gregory
  • 期刊名称:Frontiers in Psychology
  • 电子版ISSN:1664-1078
  • 出版年度:2014
  • 卷号:5
  • 页码:1-9
  • DOI:10.3389/fpsyg.2014.00643
  • 出版社:Frontiers Media
  • 摘要:The evidence is now good that different memory systems mediate the learning of different types of category structures. In particular, declarative memory dominates rule-based (RB) category learning and procedural memory dominates information-integration (II) category learning. For example, several studies have reported that feedback timing is critical for II category learning, but not for RB category learning – results that have broad support within the memory systems literature. Specifically, II category learning has been shown to be best with feedback delays of 500ms compared to delays of 0 and 1000ms, and highly impaired with delays of 2.5 seconds or longer. In contrast, RB learning is unaffected by any feedback delay up to 10 seconds. We propose a neurobiologically detailed theory of procedural learning that is sensitive to different feedback delays. The theory assumes that procedural learning is mediated by plasticity at cortical-striatal synapses that are modified by dopamine-mediated reinforcement learning. The model captures the time-course of the biochemical events in the striatum that cause synaptic plasticity, and thereby accounts for the empirical effects of various feedback delays on II category learning.
  • 关键词:feedback timing; procedural learning; Striatum; computational modeling; category learning; synaptic plasticty; Dopamine
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