2020
DOI: 10.1371/journal.pone.0237756
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Dynamics of odor sampling strategies in mice

Abstract: Mammalian olfactory receptor neurons in the nasal cavity are stimulated by odorants carried by the inhaled air and their activation is therefore tied to and driven by the breathing or sniffing frequency. Sniffing frequency can be deliberately modulated to alter how odorants stimulate olfactory receptor neurons, giving the animal control over the frequency of odorant exposure to potentially aid odorant detection and discrimination. We monitored sniffing behaviors and odorant discrimination ability of freely-mov… Show more

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Cited by 8 publications
(12 citation statements)
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“…With the navigation field moving towards virtual reality setups that eliminate the relevance of olfactory cues (Harvey et al 2009), the need arises for research that specifically addresses olfactory navigation. Conventional navigation tasks using olfactory cues will benefit from employing new technologies in arena design (Findley et al 2020;Jackson et al 2020;Liu et al 2020), videotracking (Mathis et al 2018;Wiltschko et al 2015), respiration measurements (Reisert et al 2020) and odour data obtained from head-mounted sensors (Tariq et al 2019) and two-dimensional plume measurements (Connor et al 2018;Crimaldi and Koseff 2001). This research would further be enriched by olfactorybased virtual reality systems (Radvansky and Dombeck 2018) that can reproduce the richness of turbulent odour environments and also allow for subtle manipulations of the stimuli.…”
Section: Olfactory-guided Navigationmentioning
confidence: 99%
“…With the navigation field moving towards virtual reality setups that eliminate the relevance of olfactory cues (Harvey et al 2009), the need arises for research that specifically addresses olfactory navigation. Conventional navigation tasks using olfactory cues will benefit from employing new technologies in arena design (Findley et al 2020;Jackson et al 2020;Liu et al 2020), videotracking (Mathis et al 2018;Wiltschko et al 2015), respiration measurements (Reisert et al 2020) and odour data obtained from head-mounted sensors (Tariq et al 2019) and two-dimensional plume measurements (Connor et al 2018;Crimaldi and Koseff 2001). This research would further be enriched by olfactorybased virtual reality systems (Radvansky and Dombeck 2018) that can reproduce the richness of turbulent odour environments and also allow for subtle manipulations of the stimuli.…”
Section: Olfactory-guided Navigationmentioning
confidence: 99%
“…We implanted mice with telemetric thoracic breathing sensors [PhysioTel TA11PA-C10, Data Sciences International (DSI) (St. Paul, USA)] to record their thoracic pressure and therefore their breathing frequency as previously described [17,50,52,53]. Mice were anesthetized with isoflurane and depth of anesthesia was tested with a toe pinch.…”
Section: Acquiring Breathing Signalsmentioning
confidence: 99%
“…Methods for training the mice on the odorant detection and discrimination task are described in detail in Reisert et al [17] and are based on Slotnick & Restrepo [54]. A modified olfactometer [based on 55] with two ports was used, one odor delivery port and one to deliver water rewards [50].…”
Section: Odorant-driven Behavioral Experimentsmentioning
confidence: 99%
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