Encoding innately recognized odors via a generalized population code.
Encoding innately recognized odors via a generalized population code.
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通过一个广义的种群编码来编码先天识别的气味。
DOI:
10.1016/j.cub.2021.01.094
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发表时间:
2021-05-10
期刊:
影响因子:
--
通讯作者:
Yu CR
中科院分区:
文献类型:
--
作者:
Qiu Q;Wu Y;Ma L;Yu CR
Odors carrying intrinsic values often trigger instinctive aversive or attractive responses. It is not known how innate valence is encoded. An intuitive model suggests that the information is conveyed through specific channels in hardwired circuits along the olfactory pathway, insulated from influences of other odors, to trigger innate responses. Here, we show that in mice, mixing innately aversive or attractive odors with a neutral odor and, surprisingly, mixing two odors with the same valence, abolish the innate behavioral responses. Recordings from the olfactory bulb indicate that odors are not masked at the level of peripheral activation and glomeruli independently encode components in the mixture. In contrast, crosstalk among the mitral and tufted (M/T) cells changes their patterns of activity such that those elicited by the mixtures can no longer be linearly decoded as separate components. The changes in behavioral and M/T cell responses are associated with reduced activation of brain areas linked to odor preferences. Thus, crosstalk among odor channels at the earliest processing stage in the olfactory pathway leads to re-coding of odor identity to abolish valence associated with the odors. These results are inconsistent with insulated labeled lines and support a model of a common mechanism of odor recognition for both innate and learned valence associations. Qiu et al. find that odor mixtures abolish innate responses to the component odors. Recordings from the olfactory bulb demonstrate significant crosstalk among mitral/tufted cells to encode odors in a context-dependent manner. These results are inconsistent with insulated labeled-line model and suggest a generalized code for innate odor encoding.
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影响因子:
8.2
作者:
Canteras, NS;Ribeiro-Barbosa, ÉR;Comoli, E
通讯作者:
Comoli, E
影响因子:
15.9
作者:
Carleton A;Accolla R;Simon SA
通讯作者:
Simon SA
影响因子:
16.2
作者:
Economo MN;Hansen KR;Wachowiak M
通讯作者:
Wachowiak M
DOI:
10.1073/pnas.88.15.6462
发表时间:
1991-08-01
影响因子:
11.1
作者:
HOPFIELD, JJ
通讯作者:
HOPFIELD, JJ
影响因子:
64.8
作者:
Haga, Sachiko;Hattori, Tatsuya;Touhara, Kazushige
通讯作者:
Touhara, Kazushige