Masuda Naoki
Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Wako, Japan.
Neural Comput. 2006 Jan;18(1):45-59. doi: 10.1162/089976606774841521.
Firing rates and synchronous firing are often simultaneously relevant signals, and they independently or cooperatively represent external sensory inputs, cognitive events, and environmental situations such as body position. However, how rates and synchrony comodulate and which aspects of inputs are effectively encoded, particularly in the presence of dynamical inputs, are unanswered questions. We examine theoretically how mixed information in dynamic mean input and noise input is represented by dynamic population firing rates and synchrony. In a subthreshold regime, amplitudes of spatially uncorrelated noise are encoded up to a fairly high input frequency, but this requires both rate and synchrony output channels. In a suprathreshold regime, means and common noise amplitudes can be simultaneously and separately encoded by rates and synchrony, respectively, but the input frequency for which this is possible has a lower limit.
放电率和同步放电通常是同时相关的信号，它们独立或协同地代表外部感觉输入、认知事件以及诸如身体位置等环境状况。然而，放电率和同步性如何共同调制，以及输入的哪些方面被有效编码，特别是在存在动态输入的情况下，这些问题尚无答案。我们从理论上研究了动态总体放电率和同步性如何表征动态平均输入和噪声输入中的混合信息。在阈下状态下，空间不相关噪声的幅度可被编码至相当高的输入频率，但这需要放电率和同步性这两个输出通道。在阈上状态下，均值和共同噪声幅度可分别由放电率和同步性同时且单独地编码，但实现这一点的输入频率有一个下限。
