California Institute of Technology Pasadena, CA, USA.
Front Syst Neurosci. 2009 Jul 28;3:6. doi: 10.3389/neuro.06.006.2009. eCollection 2009.
Fundamental questions in neural coding are how neurons encode, transfer, and reconstruct information from the pattern of action potentials (APs) exchanged between different brain structures. We propose a general model of neural coding where neurons encode information by the phase of their APs relative to their subthreshold membrane oscillations. We demonstrate by means of simulations that AP phase retains the spatial and temporal content of the input under the assumption that the membrane potential oscillations are coherent across neurons and between structures and have a constant spatial phase gradient. The model explains many unresolved physiological observations and makes a number of concrete, testable predictions about the relationship between APs, local field potentials, and subthreshold membrane oscillations, and provides an estimate of the spatio-temporal precision of neuronal information processing.
神经编码中的基本问题是神经元如何对不同脑结构之间的动作电位（AP）模式进行编码、传递和重建信息。我们提出了一种神经编码的通用模型，其中神经元通过它们的 AP 相对于其亚阈膜振荡的相位来编码信息。我们通过模拟证明，假设膜电位振荡在神经元之间和结构之间是相干的，并且具有恒定的空间相位梯度，那么 AP 相位保留了输入的空间和时间内容。该模型解释了许多未解决的生理观察结果，并对 AP、局部场电位和亚阈膜振荡之间的关系做出了一些具体的、可测试的预测，同时提供了对神经元信息处理的时空精度的估计。
