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dc.contributor.authorCrimaldi, John
dc.contributor.authorLei, Hong
dc.contributor.authorSchaefer, Andreas
dc.contributor.authorSchmuker, Michael
dc.contributor.authorSmith, Brain H.
dc.contributor.authorC. True, Aaron
dc.contributor.authorVerhagen, Justus V.
dc.contributor.authorVictor , Jonathan D.
dc.date.accessioned2021-09-30T14:00:02Z
dc.date.available2021-09-30T14:00:02Z
dc.date.issued2021-09-30
dc.identifier.citationCrimaldi , J , Lei , H , Schaefer , A , Schmuker , M , Smith , B H , C. True , A , Verhagen , J V & Victor , J D 2021 , ' Active sensing in a dynamic olfactory world ' , Journal of Computational Neuroscience . https://doi.org/10.1007/s10827-021-00798-1
dc.identifier.issn0929-5313
dc.identifier.urihttp://hdl.handle.net/2299/25093
dc.description© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.description.abstractThis Perspective highlights the shift from the classic picture of olfaction as slow and static to a view in which dynamics play a critical role at many levels of sensing and behavior. Olfaction is now increasingly seen as a “wide-bandwidth temporal sense” (Ackels et al., 2021; Nagel et al., 2015). A parallel transition is occurring in odor-guided robot navigation, where it has been discovered that sensors can access temporal cues useful for navigation (Schmuker et al., 2016). We are only beginning to understand the implications of this paradigm-shift on our view of olfactory and olfactomotor circuits. Below we review insights into the information encoded in turbulent odor plumes and shine light on how animals could access this information. We suggest that a key challenge for olfactory neuroscience is to re-interpret work based on static stimuli in the context of natural odor dynamics and actively exploring animals.en
dc.format.extent6
dc.format.extent907094
dc.language.isoeng
dc.relation.ispartofJournal of Computational Neuroscience
dc.titleActive sensing in a dynamic olfactory worlden
dc.contributor.institutionCentre of Data Innovation Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionBiocomputation Research Group
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1007/s10827-021-00798-1
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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