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定量模型中的首因效应与近因效应:活跃度是关键区别。

Primacy versus recency in a quantitative model: activity is the critical distinction.

作者信息

Greene A J, Prepscius C, Levy W B

机构信息

University of Virginia, Department of Neurosurgery, Charlottesville, Virginia 22908, USA.

出版信息

Learn Mem. 2000 Jan;7(1):48-57. doi: 10.1101/lm.7.1.48.

Abstract

Behavioral and neurobiological evidence shows that primacy and recency are subserved by memory systems for intermediate- and short-term memory, respectively. A widely accepted explanation of recency is that in short-term memory, new learning overwrites old learning. Primacy is not as well understood, but many hypotheses contend that initial items are better encoded into long-term memory because they have had more opportunity to be rehearsed. A simple, biologically motivated neural network model supports an alternative hypothesis of the distinct processing requirements for primacy and recency given single-trial learning without rehearsal. Simulations of the model exhibit either primacy or recency, but not both simultaneously. The incompatibility of primacy and recency clarifies possible reasons for two neurologically distinct systems. Inhibition, and its control of activity, determines those list items that are acquired and retained. Activity levels that are too low do not provide sufficient connections for learning to occur, while higher activity diminishes capacity. High recurrent inhibition, and progressively diminishing activity, allows acquisition and retention of early items, while later items are never acquired. Conversely, low recurrent inhibition, and the resulting high activity, allows continuous acquisition such that acquisition of later items eventually interferes with the retention of early items.

摘要

行为学和神经生物学证据表明,首因效应和近因效应分别由中期和短期记忆系统支持。对近因效应的一种广泛接受的解释是,在短期记忆中,新的学习会覆盖旧的学习。首因效应的理解则没那么透彻,但许多假设认为,初始项目能更好地编码到长期记忆中,因为它们有更多机会被复述。一个简单的、基于生物学动机的神经网络模型支持了一种替代假设,即在无复述的单次学习中,首因效应和近因效应有不同的处理要求。该模型的模拟结果要么显示首因效应,要么显示近因效应,但不会同时显示两者。首因效应和近因效应的不相容性阐明了两个神经学上不同系统的可能原因。抑制及其对活动的控制决定了那些被获取和保留的列表项目。过低的活动水平无法提供足够的连接来进行学习,而较高的活动水平会降低容量。高循环抑制和逐渐减少的活动允许早期项目被获取和保留,而后期项目则永远不会被获取。相反,低循环抑制以及由此产生的高活动水平允许持续获取,使得后期项目的获取最终会干扰早期项目的保留。

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