Mechanisms of maximum information preservation in the Drosophila antennal lobe.

Mechanisms of maximum information preservation in the Drosophila antennal lobe.
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DOI:
10.1371/journal.pone.0010644
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发表时间:
2010-05-21
期刊:
影响因子:
3.7
通讯作者:
Okada M
Okada M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Satoh R;Oizumi M;Kazama H;Okada M

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我们研究了存在的最大信息保存,这可能是一个基本原则的信息传输在所有的感觉方式,在果蝇触角叶使用实验接地网络模型和生理数据。最近的研究表明,嗅觉受体神经元(ORNs)和二阶投射神经元(PNs)之间的非线性放电率转换。因此,PN可以比ORN更均匀地使用其动态范围来响应各种气味。虽然这种发射率变换被认为有助于解码器区分气味,但还没有全面的、定量支持的研究来检验这一概念。因此,我们定量地研究了这种发射率转换的效率,从信息保存的角度来看,通过计算气味刺激和PN反应之间的互信息在我们的网络模型。在果蝇的嗅觉系统中,所有的ORN和PN都被分成独特的功能处理单位,称为肾小球。ORN和PNs之间的非线性转换是通过局部神经元(LN)通过肾小球内转换和肾小球间相互作用形成的。通过探索这两个因素在我们的网络模型中产生的可能的非线性变换,我们发现,当弱ORN输入优先在肾小球内放大时,互信息最大化,并且每个肾小球的净LN输入是抑制性的。值得注意的是,这正是实验观察到的组合。此外,所得到的非线性变换的形状是类似的实验观察到的。这些结果表明,气味刺激相关的信息几乎最大限度地保存在果蝇的嗅觉回路。我们还讨论了如何肾小球内转化和肾小球间抑制联合收割机,以最大限度地提高互信息。
We examined the presence of maximum information preservation, which may be a fundamental principle of information transmission in all sensory modalities, in the Drosophila antennal lobe using an experimentally grounded network model and physiological data. Recent studies have shown a nonlinear firing rate transformation between olfactory receptor neurons (ORNs) and second-order projection neurons (PNs). As a result, PNs can use their dynamic range more uniformly than ORNs in response to a diverse set of odors. Although this firing rate transformation is thought to assist the decoder in discriminating between odors, there are no comprehensive, quantitatively supported studies examining this notion. Therefore, we quantitatively investigated the efficiency of this firing rate transformation from the viewpoint of information preservation by computing the mutual information between odor stimuli and PN responses in our network model. In the Drosophila olfactory system, all ORNs and PNs are divided into unique functional processing units called glomeruli. The nonlinear transformation between ORNs and PNs is formed by intraglomerular transformation and interglomerular interaction through local neurons (LNs). By exploring possible nonlinear transformations produced by these two factors in our network model, we found that mutual information is maximized when a weak ORN input is preferentially amplified within a glomerulus and the net LN input to each glomerulus is inhibitory. It is noteworthy that this is the very combination observed experimentally. Furthermore, the shape of the resultant nonlinear transformation is similar to that observed experimentally. These results imply that information related to odor stimuli is almost maximally preserved in the Drosophila olfactory circuit. We also discuss how intraglomerular transformation and interglomerular inhibition combine to maximize mutual information.
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