GSTDTAP  > 地球科学
DOI10.1126/science.aat6904
Recurrent cortical circuits implement concentration-invariant odor coding
Bolding, Kevin A.; Franks, Kevin M.
2018-09-14
发表期刊SCIENCE
ISSN0036-8075
EISSN1095-9203
出版年2018
卷号361期号:6407页码:1088-+
文章类型Article
语种英语
国家USA
英文摘要

Animals rely on olfaction to find food, attract mates, and avoid predators. To support these behaviors, they must be able to identify odors across different odorant concentrations. The neural circuit operations that implement this concentration invariance remain unclear. We found that despite concentration-dependence in the olfactory bulb (OB), representations of odor identity were preserved downstream, in the piriform cortex (PCx). The OB cells responding earliest after inhalation drove robust responses in sparse subsets of PCx neurons. Recurrent collateral connections broadcast their activation across the PCx, recruiting global feedback inhibition that rapidly truncated and suppressed cortical activity for the remainder of the sniff, discounting the impact of slower, concentration-dependent OB inputs. Eliminating recurrent collateral output amplified PCx odor responses rendered the cortex steeply concentration-dependent and abolished concentration-invariant identity decoding.


领域地球科学 ; 气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000444513300033
WOS关键词MAMMALIAN OLFACTORY-BULB ; PIRIFORM CORTEX ; IN-VIVO ; SPIKE LATENCIES ; REPRESENTATIONS ; SPARSE ; ACTIVATION ; INHIBITION ; NETWORK ; OUTPUT
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/199582
专题地球科学
资源环境科学
气候变化
作者单位Duke Univ, Med Sch, Dept Neurobiol, Durham, NC 27708 USA
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GB/T 7714
Bolding, Kevin A.,Franks, Kevin M.. Recurrent cortical circuits implement concentration-invariant odor coding[J]. SCIENCE,2018,361(6407):1088-+.
APA Bolding, Kevin A.,&Franks, Kevin M..(2018).Recurrent cortical circuits implement concentration-invariant odor coding.SCIENCE,361(6407),1088-+.
MLA Bolding, Kevin A.,et al."Recurrent cortical circuits implement concentration-invariant odor coding".SCIENCE 361.6407(2018):1088-+.
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