AGING OF VISUAL/COGNITIVE MECHANISMS

描述（改编自研究者摘要）：实验 在本申请中提出的建立和扩展研究， 之前的一项拨款旨在开发和测试经验性神经 老龄化的网络模型 主要目的是具体说明 解释与实践相关的改善中与年龄相关的差异， 学习和熟练的表现。 我们的重点是描述 年龄相关的学习和技能获得的个体间差异 在基于记忆的学习机制的效率方面， 计算算法解决方案的效率。 也就是说， 学习能力下降，哪些技能表现机制 在成年人的整个生命周期中都能保存下来 在这四年里， 该项目，约400名年龄在20至70岁之间的妇女和男子将被 在四个实验中进行测试，以检查会话的变化， 速度、变化性和性能的准确性，以及 响应时间分布的形状。 年龄相关分析 个体差异沿着这些措施在多个实践 预计会议将揭示从算法计算到 基于内存的处理。

DESCRIPTION (Adapted from Investigator's Abstract): The experiments proposed in this application build upon and extend research initiated under a previous grant aimed at developing and testing empirically derived neural network models of aging. The major aim is to specify the mechanisms that account for age-related differences in practice-related improvements in learning and skilled performance. Our focus is on the description of age-related inter-individual differences in learning and skill acquisition in terms of the efficiency of a memory-based learning mechanism and the efficiency of computing algorithmic solutions. That is, which mechanism of learning are degraded and which mechanisms of skilled performance are preserved across the adult life-span? During the four years of this project, about 400 women and men between the ages of 20 and 70 years will be tested in four experiments, to examine session-by-session changes in the speed, variability, and accuracy of performance, as well as changes in the shape of the distributions of response times. Analyses of age-related individual differences along these measures across multiple practice sessions are expected to reveal shifts from algorithmic computation to memory based processing.