CUED Publications database

Encoding of mixtures in a simple olfactory system.

Shen, K and Tootoonian, S and Laurent, G (2013) Encoding of mixtures in a simple olfactory system. Neuron, 80. pp. 1246-1262.

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Natural odors are usually mixtures; yet, humans and animals can experience them as unitary percepts. Olfaction also enables stimulus categorization and generalization. We studied how these computations are performed with the responses of 168 locust antennal lobe projection neurons (PNs) to varying mixtures of two monomolecular odors, and of 174 PNs and 209 mushroom body Kenyon cells (KCs) to mixtures of up to eight monomolecular odors. Single-PN responses showed strong hypoadditivity and population trajectories clustered by odor concentration and mixture similarity. KC responses were much sparser on average than those of 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.

Item Type: Article
Uncontrolled Keywords: Action Potentials Animals Arthropod Antennae Bayes Theorem Grasshoppers Linear Models Models, Neurological Mushroom Bodies Neural Pathways Neurons Odorants Olfactory Pathways ROC Curve Reaction Time Smell Time Factors
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:56
Last Modified: 21 Jun 2018 02:44