We show that recognizable neural waveforms are reproduced in the model described in previous work. In so doing, we reproduce close matches to certain observed, though filtered, EEG-like measurements in closed mathematical form, to good approximations. Such neural waves represent the responses of individual networks to external and endogenous inputs and are presumably the carriers of the information used to perform computations in actual brains, which are complexes of interconnected networks. Then, we apply these findings to a question arising in short-term memory processing in humans. Namely, we show how the anomalously small number of reliable retrievals from short-term memory found in certain trials of the Sternberg task is related to the relative frequencies of the neural waves involved. This finding justifies the hypothesis of phase-coding, which has been posited as an explanation of this effect.

我们展示了可识别的神经波形在先前工作中描述的模型中再现。在这样做的过程中，我们以封闭的数学形式重现与某些观察到的（虽然经过过滤的）类 EEG 测量的密切匹配，以达到良好的近似。这种神经波代表了单个网络对外部和内源性输入的反应，并且可能是用于在实际大脑中执行计算的信息的载体，这些大脑是相互连接的网络的复合体。然后，我们将这些发现应用于人类短期记忆处理中出现的问题。也就是说，我们展示了在 Sternberg 任务的某些试验中从短期记忆中发现的异常少的可靠检索是如何与所涉及的神经波的相对频率相关的。这一发现证明了相位编码的假设，