Encoding of mixtures in a simple olfactory system.

Encoding of mixtures in a simple olfactory system.
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DOI:
10.1016/j.neuron.2013.08.026
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发表时间:
2013-12-04
期刊:
影响因子:
16.2
通讯作者:
Laurent G
Laurent G
中科院分区:
医学1区
文献类型:
--
作者:
Shen K;Tootoonian S;Laurent G

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自然气味通常是混合物;然而,人类和动物可以作为单一的感知来体验它们。嗅觉也使刺激分类和概括。我们研究了168个蝗虫触角叶投射神经元(PNs)对两种不同单分子气味混合物的响应,以及174个PNs和209个蘑菇体凯尼恩细胞(KCs)对多达8种单分子气味混合物的响应。单个PN响应表现出较强的低可加性,种群轨迹通过气味浓度和混合物相似性聚类。平均而言,KC反应比PNs少得多,并且通常表明混合物中存在单一组分。线性分类器可以读出两个种群在单个时间箱中的反应,以执行气味识别,分类和泛化。我们的研究结果表明,蘑菇体中的气味表征可能是由于竞争优化约束,以促进记忆(稀疏),同时实现识别,分类和泛化。
Natural odors are usually mixtures; yet humans and animals can experience them as unitary percepts. Olfaction also enables stimulus categorization and generalization. We addressed how these computations are performed with the responses of 168 locust antennal lobe projection neurons (PNs) to varying mixtures of two monomolecular odors, and 174 PNs and 209 mushroom body Kenyon cells (KCs) to mixtures of up to 8 monomolecular odors. Single PN responses showed strong hypo-additivity, and population trajectories clustered by odor concentration and mixture similarity. KC responses were much sparser on average than with PNs and often signaled the presence of single components in mixtures. Linear classifiers could read out the responses of both populations in single time bins to perform odor identification, categorization, and generalization. Our results suggest that odor representations in the mushroom body may result from competing optimization constraints to facilitate memorization (sparseness) while enabling identification, classification and generalization.
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