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PLOS Computational Biology· Nikola Milićević·· 10 小时前AI 评分52

Shapley fields 揭示小鼠嗅球跨化学特征集的镶嵌式化学拓扑组织

Shapley fields reveal mosaic chemotopic organization in the mouse Olfactory bulb across diverse chemical feature sets

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Nikola Milićević 等提出 Shapley fields,将其作为类似视网膜拓扑感受野的嗅觉对应方法,用来刻画小鼠嗅球 glomeruli 调谐中化学特征重要性的空间分布。研究利用宽场落射荧光成像记录小鼠背侧嗅球对覆盖广泛化学空间刺激的响应,发现背侧嗅球 glomeruli 的化学特征敏感性呈现较弱的化学拓扑组织,且该组织在不同动物间一致。这一组织在两类差异很大的化学特征集上大体吻合,即专家整理的 PubChem 数据库特征和基于人类嗅觉知觉任务训练的图神经网络特征,并涉及至少三个化学特征维度,而非一两个主导属性。

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来源:PLOS Computational Biology · journals.plos.org

论文摘要

by Nikola Milićević, Shawn D. Burton, Matt Wachowiak, Vladimir Itskov

Neural representations in the olfactory bulb (OB) remain poorly understood compared to well-established coding principles in other sensory systems. This difficulty arises because a natural coordinate system for olfactory stimulus space has not yet been identified, complicating the characterization of neural receptive fields analogous to those in other sensory modalities. Moreover, the extent to which these tuning properties are spatially organized within the OB remains unclear. To advance our understanding of the olfactory coding, we introduce an interpretable method of Shapley fields, as an olfactory analog of retinotopic receptive fields. Shapley fields are spatial distributions of chemical feature importance for the tuning of OB glomeruli. We used this tool to investigate chemotopy in the OB with diverse sets of chemical features using widefield epifluorescence recordings of the mouse dorsal OB in response to stimuli across a wide range of the chemical space. We found that Shapley fields reveal a weak chemotopic organization of the chemical feature sensitivity of dorsal OB glomeruli. This organization was consistent across animals and mostly agreed across very different chemical feature sets: (i) the expert-curated PubChem database features and (ii) features derived from a Graph Neural Network trained on human olfactory perceptual tasks. This chemotopy involved at least three chemical feature dimensions, rather than one or two dominant properties. Moreover, we found that the principal components of the Shapley fields corresponded to single commonly accepted chemical classification groups. This implies that these chemical groups could have been identified purely from the mouse olfactory responses. Our findings suggest that Shapley fields may serve as a chemical feature-agnostic method for investigating olfactory perception.