Johnson D H, Gruner C M, Baggerly K, Seshagiri C
Department of Electrical and Computer Engineering, Computer and Information Technology Institute, Rice University, Houston, TX 77251-1892, USA.
J Comput Neurosci. 2001 Jan-Feb;10(1):47-69. doi: 10.1023/a:1008968010214.
We describe an approach to analyzing single- and multiunit (ensemble) discharge patterns based on information-theoretic distance measures and on empirical theories derived from work in universal signal processing. In this approach, we quantify the difference between response patterns, whether time-varying or not, using information-theoretic distance measures. We apply these techniques to single- and multiple-unit processing of sound amplitude and sound location. These examples illustrate that neurons can simultaneously represent at least two kinds of information with different levels of fidelity. The fidelity can persist through a transient and a subsequent steady-state response, indicating that it is possible for an evolving neural code to represent information with constant fidelity.
我们描述了一种基于信息论距离度量以及从通用信号处理工作中得出的经验理论来分析单单元和多单元（整体）放电模式的方法。在这种方法中，我们使用信息论距离度量来量化响应模式之间的差异，无论其是否随时间变化。我们将这些技术应用于声音幅度和声音位置的单单元和多单元处理。这些例子表明，神经元可以同时以不同的保真度水平表征至少两种信息。这种保真度可以在瞬态响应和随后的稳态响应中持续存在，这表明不断演变的神经编码有可能以恒定的保真度表征信息。
