The primacy model and the structure of olfactory space

IF 3.8 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

PLoS Computational Biology Pub Date : 2024-09-10 DOI:10.1371/journal.pcbi.1012379

Hamza Giaffar, Sergey Shuvaev, Dmitry Rinberg, Alexei A. Koulakov

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Abstract

Understanding sensory processing relies on the establishment of a consistent relationship between the stimulus space, its neural representation, and perceptual quality. In olfaction, the difficulty in establishing these links lies partly in the complexity of the underlying odor input space and perceptual responses. Based on the recently proposed primacy model for concentration invariant odor identity representation and a few assumptions, we have developed a theoretical framework for mapping the odor input space to the response properties of olfactory receptors. We analyze a geometrical structure containing odor representations in a multidimensional space of receptor affinities and describe its low-dimensional implementation, the primacy hull. We propose the implications of the primacy hull for the structure of feedforward connectivity in early olfactory networks. We test the predictions of our theory by comparing the existing receptor-ligand affinity and connectivity data obtained in the fruit fly olfactory system. We find that the Kenyon cells of the insect mushroom body integrate inputs from the high-affinity (primacy) sets of olfactory receptors in agreement with the primacy theory.

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首要模式和嗅觉空间结构

对感觉处理的理解有赖于在刺激空间、其神经表征和知觉质量之间建立一致的关系。在嗅觉中，建立这些联系的困难部分在于基本气味输入空间和知觉反应的复杂性。基于最近提出的浓度不变气味特征表征的首要模型和一些假设，我们建立了一个理论框架，用于映射气味输入空间和嗅觉受体的反应特性。我们分析了在受体亲和力的多维空间中包含气味表征的几何结构，并描述了其低维实现方式，即 primacy hull。我们提出了primacy hull 对早期嗅觉网络中前馈连接结构的影响。我们通过比较在果蝇嗅觉系统中获得的现有受体配体亲和力和连接性数据，检验了我们理论的预测。我们发现，昆虫蘑菇体内的肯尼恩细胞整合了来自高亲和力（初级）嗅觉受体组的输入，这与初级理论是一致的。

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来源期刊

PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY

CiteScore

7.10

自引率

4.70%

发文量

820

审稿时长

2.5 months

期刊介绍： PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.

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