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神经网络模型中的神经波与计算III:预演、工作记忆与脉冲串

Neural waves and computation in a neural net model III: preplay, working memory and bursts.

作者信息

Selesnick S A

机构信息

Mathematics and Statistics, University of Missouri - St. Louis, St. Louis, Missouri, 63121, USA.

出版信息

J Comput Neurosci. 2025 Jun;53(2):199-218. doi: 10.1007/s10827-025-00899-1. Epub 2025 Mar 17.

Abstract

Evidence in favor of an earlier conjecture, namely that the low frequency autonomic regime of neural waves acts as a governing or operating system, processing incoming stimuli in various ways for the purposes of conducting computations, is presented in the context of our network model. The rôle of this low frequency regime in the implementation of preplay compares favorably with recent experimental findings in mice. This is followed by a discussion and analysis of three problems arising from considerations of Working Memory processes. Namely, distinguishability, garbage collection and distractor avoidance. The rôle of inhibitory bursts arises spontaneously in the last two scenarios.

摘要

在我们的网络模型背景下,提出了支持早期猜想的证据,即神经波的低频自主状态充当控制或操作系统,以各种方式处理传入刺激以进行计算。这种低频状态在预演实施中的作用与最近在小鼠身上的实验结果相符。接下来讨论和分析了工作记忆过程中出现的三个问题。即可区分性、垃圾回收和干扰避免。抑制性爆发的作用在后两种情况下自然出现。

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