Adaptation of olfactory receptor abundances for efficient coding

Abstract : Olfactory receptor usage is highly heterogeneous, with some receptor types being orders of magnitude more abundant than others. We propose an explanation for this striking fact: the receptor distribution is tuned to maximally represent information about the olfactory environment in a regime of efficient coding that is sensitive to the global context of correlated sensor responses. This model predicts that in mammals, where olfactory sensory neurons are replaced regularly, receptor abundances should continuously adapt to odor statistics. Experimentally, increased exposure to odorants leads variously, but reproducibly, to increased, decreased, or unchanged abundances of different activated receptors. We demonstrate that this diversity of effects is required for efficient coding when sensors are broadly correlated, and provide an algorithm for predicting which olfactory receptors should increase or decrease in abundance following specific environmental changes. Finally, we give simple dynamical rules for neural birth and death processes that might underlie this adaptation.
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal.sorbonne-universite.fr/hal-02068925
Contributor : Gestionnaire Hal-Su <>
Submitted on : Friday, March 15, 2019 - 12:47:39 PM
Last modification on : Wednesday, May 15, 2019 - 3:53:04 AM

File

elife-39279-v2.pdf
Publisher files allowed on an open archive

Identifiers

Citation

Tiberiu Teşileanu, Simona Cocco, Remi Monasson, Vijay Balasubramanian. Adaptation of olfactory receptor abundances for efficient coding. eLife, eLife Sciences Publication, 2019, 8, ⟨10.7554/eLife.39279⟩. ⟨hal-02068925⟩

Share

Metrics

Record views

41

Files downloads

9