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Short term memory in input-driven linear dynamical systems

机译:输入驱动线性动力学系统中的短期记忆

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摘要

We investigate the relation between two quantitative measures characterizing short term memory in input driven dynamical systems, namely the short term memory capacity (MC) [3] and the Fisher memory curve (FMC) [2]. We show that even though MC and FMC map the memory structure of the system under investigation from two quite different perspectives, for linear input driven dynamical systems they are in fact closely related. In particular, under some assumptions, the two quantities can be interpreted as squared 'Mahalanobis' norms of images of the input vector under the system's dynamics. We also offer a detailed rigorous analysis of the relation between MC and FMC in cases of symmetric and cyclic dynamic couplings.
机译:我们研究了表征输入驱动动力系统中短期记忆的两个定量度量之间的关系,即短期记忆容量(MC)[3]和Fisher记忆曲线(FMC)[2]。我们显示,即使MC和FMC从两个截然不同的角度映射了所研究系统的内存结构,但对于线性输入驱动的动力学系统而言,它们实际上是密切相关的。特别是,在某些假设下,这两个量可以解释为系统动力学下输入矢量图像的平方的“马哈拉诺比斯”范数。在对称和循环动态耦合的情况下,我们还对MC和FMC之间的关系进行了严格的详细分析。

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