ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Intensity invariant dynamics and odor-specific latencies in olfactory receptor neuron response.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
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Who cites it
89 citing papers in PubMed, 144 citations in OpenAlex.
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- The primacy model and the structure of olfactory space.PLoS computational biology · 2024Article
- Response Plasticity ofInternational journal of molecular sciences · 2024Article
- Extracting spatial information from temporal odor patterns: insights from insects.Current opinion in insect science · 2023Review
- Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments.PLoS computational biology · 2023Article
- Conserved neural dynamics and computations across species in olfaction.bioRxiv : the preprint server for biology · 2023Article
- Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality.eLife · 2023Article
- Scalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices.BME frontiers · 2023Review
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29 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
Odors elicit spatiotemporal patterns of activity in the brain. Spatial patterns arise from the specificity of the interaction between odorants and odorant receptors expressed in different olfactory receptor neurons (ORNs), but the origin of temporal patterns of activity and their role in odor coding remain unclear. We investigate how physiological aspects of ORN response and physical aspects of odor stimuli give rise to diverse responses in Drosophila ORNs. We show that odor stimuli have intrinsic dynamics that depend on odor type and strongly affect ORN response. Using linear-nonlinear modeling to remove the contribution of the stimulus dynamics from the ORN dynamics, we study the physiological properties of the response to different odorants and concentrations. For several odorants and receptor types, the ORN response dynamics normalized by the peak response are independent of stimulus intensity for a large portion of the dynamic range of the neuron. Adaptation to a background odor changes the gain and dynamic range of the response but does not affect normalized response dynamics. Stimulating ORNs with various odorants reveals significant odor-dependent delays in the ORN response functions. However, these differences can be dominated by differences in stimulus dynamics. In one case the response of one ORN to two odorants is predicted solely from measurements of the odor signals. Within a large portion of their dynamic range, ORNs can capture information about stimulus dynamics independently from intensity while introducing odor-dependent delays. How insects might use odor-specific stimulus dynamics and ORN dynamics in discrimination and navigation tasks remains an open question.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.