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模拟嗅球及其神经振荡处理过程。

Modeling the olfactory bulb and its neural oscillatory processings.

作者信息

Li Z, Hopfield J J

机构信息

Division of Physics, Mathematics and Astronomy, AT & T Bell Laboratories, California Institute of Technology, Pasadena 91125.

出版信息

Biol Cybern. 1989;61(5):379-92. doi: 10.1007/BF00200803.

Abstract

The olfactory bulb of mammals aids in the discrimination of odors. A mathematical model based on the bulbar anatomy and electrophysiology is described. Simulations of the highly non-linear model produce a 35-60 Hz modulated activity which is coherent across the bulb. The decision states (for the odor information) in this system can be thought of as stable cycles, rather than point stable states typical of simpler neuro-computing models. Analysis shows that a group of coupled non-linear oscillators are responsible for the oscillatory activities. The output oscillation pattern of the bulb is determined by the odor input. The model provides a framework in which to understand the transform between odor input and the bulbar output to olfactory cortex. There is significant correspondence between the model behavior and observed electrophysiology.

摘要

哺乳动物的嗅球有助于辨别气味。本文描述了一个基于嗅球解剖结构和电生理学的数学模型。对这个高度非线性模型的模拟产生了35 - 60赫兹的调制活动,该活动在整个嗅球中是连贯的。这个系统中(关于气味信息的)决策状态可以被认为是稳定周期,而不是更简单的神经计算模型中典型的点稳定状态。分析表明,一组耦合的非线性振荡器负责这种振荡活动。嗅球的输出振荡模式由气味输入决定。该模型提供了一个框架,用以理解气味输入与嗅球向嗅觉皮层输出之间的转换。模型行为与观察到的电生理学之间存在显著的对应关系。

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