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  Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing

Mathis, A., Rokni, D., Kapoor, V., Bethge, M., & Murthy, V. (2016). Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing. Neuron, 91(5), 1110-1123. doi:10.1016/j.neuron.2016.08.007.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7984-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-7985-2
Genre: Journal Article

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Mathis, A, Author
Rokni, D, Author
Kapoor, V, Author
Bethge, M1, 2, Author              
Murthy, VN, Author
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

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 Abstract: The olfactory system, like other sensory systems, can detect specific stimuli of interest amidst complex, varying backgrounds. To gain insight into the neural mechanisms underlying this ability, we imaged responses of mouse olfactory bulb glomeruli to mixtures. We used this data to build a model of mixture responses that incorporated nonlinear interactions and trial-to-trial variability and explored potential decoding mechanisms that can mimic mouse performance when given glomerular responses as input. We find that a linear decoder with sparse weights could match mouse performance using just a small subset of the glomeruli (∼15). However, when such a decoder is trained only with single odors, it generalizes poorly to mixture stimuli due to nonlinear mixture responses. We show that mice similarly fail to generalize, suggesting that they learn this segregation task discriminatively by adjusting task-specific decision boundaries without taking advantage of a demixed representation of odors.

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 Dates: 2016-09
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.neuron.2016.08.007
BibTex Citekey: MathisRKBM2016
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Title: Neuron
Source Genre: Journal
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Pages: - Volume / Issue: 91 (5) Sequence Number: - Start / End Page: 1110 - 1123 Identifier: -