2018
DOI: 10.1101/294132
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Recurrent cortical circuits implement concentration-invariant odor coding

Abstract: Although the ability to reliably identify objects over a large range of stimulus intensities is a fundamental feature of all sensory systems, the neural circuit mechanisms that implement intensity invariance remain poorly understood. In mammals, odors are detected by individual olfactory sensory neurons expressing just one out of ~1,000 different types of odorant receptor, each of which projects to a specific pair of glomeruli in the olfactory bulb (OB). At low concentrations, odorants selectively bind high-af… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

15
122
1

Year Published

2018
2018
2021
2021

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 49 publications
(138 citation statements)
references
References 66 publications
15
122
1
Order By: Relevance
“…Representations of the external world in sensory cortices may define the identity of a stimulus and should therefore vary little over the life of the organism. In the olfactory system the primary olfactory cortex, piriform, is thought to determine odor identity [1][2][3][4][5][6] . We have performed electrophysiological recordings of single units maintained over weeks to examine the stability of odor representations in the mouse piriform cortex.…”
Section: Resultsmentioning
confidence: 99%
“…Representations of the external world in sensory cortices may define the identity of a stimulus and should therefore vary little over the life of the organism. In the olfactory system the primary olfactory cortex, piriform, is thought to determine odor identity [1][2][3][4][5][6] . We have performed electrophysiological recordings of single units maintained over weeks to examine the stability of odor representations in the mouse piriform cortex.…”
Section: Resultsmentioning
confidence: 99%
“…Piriform cortex is the most important cortical region for olfaction and projects directly to the OB. It has the ability to encode information about the identity, intensity and timing of odours . More importantly, piriform cortex plays a major role in odour preference learning, odour pattern separation, olfactory learning, odour fear memory and the processing of odour objects .…”
Section: Feedback and Centrifugal Modulation Of The Obmentioning
confidence: 99%
“…These include interactions between odorants at the olfactory epithelium (Kurahashi et al, 1994;Duchamp-Viret et al, 2003;Oka et al, 2004;Grossman et al, 2008;Takeuchi et al, 2009;Reddy et al, 2018;Xu et al, 2019;Zak et al, 2019), processing in the olfactory bulb (Giraudet et al, 2002;Linster and Cleland, 2004;Tabor et al, 2004;Lin et al, 2006), and further normalization within piriform cortex, implemented by local inhibition. Inhibitory circuits within the piriform cortex have indeed been shown to play a major role in shaping piriform representations Isaacson, 2009, 2011;Franks et al, 2011;Bolding and Franks, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Sublinearlity of mixture responses is probably inherited to some extent from the olfactory epithelium (Kurahashi et al, 1994;Duchamp-Viret et al, 2003;Oka et al, 2004;Takeuchi et al, 2009;Xu et al, 2020;Zak et al, 2020), as well as from the olfactory bulb where cross odorant inhibition may contribute (Yokoi et al, 1995;Urban, 2002;Aungst et al, 2003;McGann et al, 2005;Arevian et al, 2008;Fantana et al, 2008). The piriform cortex integrates these non-linear odor representations from the olfactory bulb and utilizes local recurrent circuitry to generate representations that presumably support segmentation Isaacson, 2009, 2011;Franks et al, 2011;Miura et al, 2012;Suzuki and Bekkers, 2012;Roland et al, 2017;Bolding and Franks, 2018). Importantly, piriform cortex is also expected to contribute to sublinear summation of mixture components due to local inhibitory circuits.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation