Computational modeling suggests that response properties rather than spatial position determine connectivity between olfactory glomeruli
Computational modeling suggests that response properties rather than spatial position determine connectivity between olfactory glomeruli
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DOI：
10.1152/jn.01285.2004
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发表时间：
2005-06-01
影响因子：
2.5
通讯作者：
Galizia, CG
中科院分区：
文献类型：
--
作者：
Linster, C;Sachse, S;Galizia, CG
嗅觉反应需要在二维神经网络的约束下表示高维嗅觉刺激。我们使用的蜜蜂触角叶的计算模型来测试如何抑制在触角叶的相互作用应组织在这个结构中最好地再现实验测量的输入输出功能。我们的模拟表明，功能组织的抑制网络，而不是解剖学或所有到所有组织的抑制网络，最好地再现了钙成像观察到的触角叶的输入输出功能。在这个网络中，每对肾小球之间的抑制与它们的气味反应曲线的相似性成正比。我们的结论是，在蜜蜂触角叶的气味之间的对比度增强是最好的实现时，肾小球间的抑制组织肾小球气味反应曲线的基础上，而不是在解剖邻里关系。
Olfactory responses require the representation of high-dimensional olfactory stimuli within the constraints of two-dimensional neural networks. We used a computational model of the honeybee antennal lobe to test how inhibitory interactions in the antennal lobe should be organized to best reproduce the experimentally measured input-output function in this structure. Our simulations show that a functionally organized inhibitory network, as opposed to an anatomically or all-to-all organized inhibitory network, best reproduces the input-output function of the antennal lobe observed with calcium imaging. In this network, inhibition between each pair of glomeruli was proportional to the similarity of their odor-response profiles. We conclude that contrast enhancement between odorants in the honeybee antennal lobe is best achieved when interglomerular inhibition is organized based on glomerular odor response profiles rather than on anatomical neighborhood relations.