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在知觉学习过程中,嗅觉球对感觉输入缺乏模式分离。

Lack of Pattern Separation in Sensory Inputs to the Olfactory Bulb during Perceptual Learning.

机构信息

Neurobiology Section, Center for Neural Circuits and Behavior, and Department of Neurosciences, University of California, San Diego, La Jolla, CA 92093.

出版信息

eNeuro. 2017 Sep 27;4(5). doi: 10.1523/ENEURO.0287-17.2017. eCollection 2017 Sep-Oct.

Abstract

Recent studies revealed changes in odor representations in the olfactory bulb during active olfactory learning (Chu et al., 2016; Yamada et al., 2017). Specifically, mitral cell ensemble responses to very similar odorant mixtures sparsened and became more distinguishable as mice learned to discriminate the odorants over days (Chu et al., 2016). In this study, we explored whether changes in the sensory inputs to the bulb underlie the observed changes in mitral cell responses. Using two-photon calcium imaging to monitor the odor responses of the olfactory sensory neuron (OSN) axon terminals in the glomeruli of the olfactory bulb during a discrimination task, we found that OSN inputs to the bulb are stable during discrimination learning. During one week of training to discriminate between very similar odorant mixtures in a Go/No-go task, OSN responses did not show significant sparsening, and the responses to the trained similar odorants did not diverge throughout training. These results suggest that the adaptive changes of mitral cell responses during perceptual learning are ensured by mechanisms downstream of OSN input, possibly in local circuits within olfactory bulb.

摘要

最近的研究表明,在主动嗅觉学习过程中,嗅球中的气味表示发生了变化(Chu 等人,2016;Yamada 等人,2017)。具体来说,随着老鼠在几天内学会区分气味,对非常相似的气味混合物的僧帽细胞整体反应变得稀疏,并变得更加可区分(Chu 等人,2016)。在这项研究中,我们探讨了嗅球中感觉输入的变化是否是观察到的僧帽细胞反应变化的基础。我们使用双光子钙成像来监测在辨别任务期间嗅球中嗅感觉神经元(OSN)轴突末梢的气味反应,我们发现,在辨别学习过程中,嗅球中的 OSN 输入是稳定的。在一周的训练中,老鼠要在 Go/No-go 任务中辨别非常相似的气味混合物,OSN 的反应并没有明显稀疏,而且对训练过的相似气味的反应在整个训练过程中并没有发散。这些结果表明,在知觉学习过程中,僧帽细胞反应的适应性变化是由 OSN 输入下游的机制保证的,可能是在嗅球内的局部回路中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd21/5615249/e359ece8cc23/enu0051724210001.jpg

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