Experience-dependent evolution of odor mixture representations in piriform cortex.
Experience-dependent evolution of odor mixture representations in piriform cortex.
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DOI：
10.1371/journal.pbio.3002086
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发表时间：
2023-04
期刊：
影响因子：
9.8
通讯作者：
Murthy, Venkatesh
中科院分区：
文献类型：
--
作者：
Berners-Lee, Alice;Shtrahman, Elizabeth;Grimaud, Julien;Murthy, Venkatesh
啮齿动物可以通过接触有奖励的气味来学习做出更好、更快的决策。梨状皮质被认为对学习复杂的气味关联很重要；然而，人们并不确切了解它是如何学会记住许多（有时是重叠的）气味混合物之间的差异的。我们研究了小鼠在学习区分一种独特的目标气味混合物和数百种非目标混合物时，气味混合物在梨状皮质后部（pPC）是如何表征的。我们发现，很大比例的pPC神经元能够区分目标气味混合物和所有其他非目标气味混合物。与其他神经元相比，偏好目标气味混合物的神经元在气味出现时往往会以短暂的放电率增加来做出反应，而其他神经元则表现出持续的和/或降低的放电。我们让小鼠在达到高水平的表现后继续训练，发现pPC神经元对目标气味混合物以及对随机选择的重复的非目标气味混合物（小鼠不需要将其与其他非目标区分开来）变得更具选择性。在过度训练期间这些单个神经元的变化伴随着在群体水平上更好的分类解码，尽管小鼠的行为指标，如奖励率和反应潜伏期没有改变。然而，当引入困难的模糊试验类型时，目标选择性的稳健性与在困难试验中的更好表现相关。综上所述，这些数据表明pPC是一个动态且稳健的系统，能够同时针对当前和可能的未来任务需求进行优化。
环境重要特征的神经表征会随着动物的学习而改变。这项研究表明，显著的气味混合物在小鼠的嗅觉皮质中变得过度表征且与众不同，从而能够对这些刺激进行更好、更稳健的分类。
Rodents can learn from exposure to rewarding odors to make better and quicker decisions. The piriform cortex is thought to be important for learning complex odor associations; however, it is not understood exactly how it learns to remember discriminations between many, sometimes overlapping, odor mixtures. We investigated how odor mixtures are represented in the posterior piriform cortex (pPC) of mice while they learn to discriminate a unique target odor mixture against hundreds of nontarget mixtures. We find that a significant proportion of pPC neurons discriminate between the target and all other nontarget odor mixtures. Neurons that prefer the target odor mixture tend to respond with brief increases in firing rate at odor onset compared to other neurons, which exhibit sustained and/or decreased firing. We allowed mice to continue training after they had reached high levels of performance and find that pPC neurons become more selective for target odor mixtures as well as for randomly chosen repeated nontarget odor mixtures that mice did not have to discriminate from other nontargets. These single unit changes during overtraining are accompanied by better categorization decoding at the population level, even though behavioral metrics of mice such as reward rate and latency to respond do not change. However, when difficult ambiguous trial types are introduced, the robustness of the target selectivity is correlated with better performance on the difficult trials. Taken together, these data reveal pPC as a dynamic and robust system that can optimize for both current and possible future task demands at once. The neural representation of important features of the environment can change as an animal learns. This study shows that salient odor mixtures become over-represented and distinct in the olfactory cortex of mice, allowing a better and more robust categorization of these stimuli.
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影响因子：
8.8
作者：
Burgess CP;Lak A;Steinmetz NA;Zatka-Haas P;Bai Reddy C;Jacobs EAK;Linden JF;Paton JJ;Ranson A;Schröder S;Soares S;Wells MJ;Wool LE;Harris KD;Carandini M
通讯作者：
Carandini M
影响因子：
5.7
作者：
Blazing RM;Franks KM
通讯作者：
Franks KM
影响因子：
3.5
作者：
Hagiwara A;Pal SK;Sato TF;Wienisch M;Murthy VN
通讯作者：
Murthy VN
DOI：
10.1523/jneurosci.3540-12.2012
发表时间：
2012-11-28
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Maier JX;Wachowiak M;Katz DB
通讯作者：
Katz DB
影响因子：
25
作者：
Haddad, Rafi;Lanjuin, Anne;Madisen, Linda;Zeng, Hongkui;Murthy, Venkatesh N.;Uchida, Naoshige
通讯作者：
Uchida, Naoshige