Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality

Brian Kim, Seth Haney, Ana P. Millan, Shruti Joshi, Zane Aldworth, Nikolai Rulkov, Alexander T. Kim, Maxim Bazhenov, Mark Stopfer

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Odorants binding to olfactory receptor neurons (ORNs) trigger bursts of action potentials, providing the brain with its only experience of the olfactory environment. Our recordings made in vivo from locust ORNs showed odor-elicited firing patterns comprise four distinct response motifs, each defined by a reliable temporal profile. Different odorants could elicit different response motifs from a given ORN, a property we term motif switching. Further, each motif undergoes its own form of sensory adaptation when activated by repeated plume-like odor pulses. A computational model constrained by our recordings revealed that organizing responses into multiple motifs provides substantial benefits for classifying odors and processing complex odor plumes: each motif contributes uniquely to encode the plume’s composition and structure. Multiple motifs and motif switching further improve odor classification by expanding coding dimensionality. Our model demonstrated these response features could provide benefits for olfactory navigation, including determining the distance to an odor source.
Original languageEnglish
Article numbere79152
JournaleLife
Volume12
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Odor
  • adaptation
  • classification
  • combinatorial
  • computational model
  • encoding
  • information
  • navigation
  • plume
  • sensory

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