Perception of odors by a nonlinear model of the olfactory bulb.

Perception of odors by a nonlinear model of the olfactory bulb.
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DOI:
10.1142/s0129065701000564
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发表时间:
2001-04-01
影响因子:
8
通讯作者:
Breakspear, M
Breakspear, M
中科院分区:
计算机科学2区
文献类型:
--
作者:
Breakspear, M

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嗅球的行为被建模为具有非线性动力学的互连细胞网络。来自感觉神经元的外部输入作为扰动被引入到网络内的细胞子集。我们描述了系统的吸引子,并展示了它们如何根据其不同的对称程度进行分类和排序。通过研究系统相空间中的吸引子网络,可以看出不同的扰动如何引起各种行为模式之间的特定切换。这确保了不同的气味,即使以极低的浓度存在,也能够在嗅球中唤起特定的时空行为,从而允许它们独特的感知。该模型结合了许多被提出来介导感知的过程,例如感觉系统的地形组织、感觉输入引起的皮质不稳定以及神经元之间的同步。这也与嗅觉脑电图的特征相一致。
The behavior of the olfactory bulb is modeled as a network of interconnected cells with nonlinear dynamics. External inputs from sensory neurons are introduced as perturbations to subsets of cells within the network. We describe the attractors of the system and show how they can be classified and ordered according to their varying degrees of symmetry. By studying networks of attractors in the system's phase space, it is shown how different perturbations may evoke specific switches between various patterns of behavior. This ensures that different odors, even if present at extremely low concentrations, are able to evoke a specific spatio-temporal behavior in the olfactory bulb, permitting their unique perception. The model incorporates many of the processes proposed to mediate perception, such as the topographic organisation of sensory systems, destabilization of cortex by sensory input and synchronisation between neurons. It is also consistent with the character of the olfactory electroencephalogram.