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学习调节初级嗅觉网络中气味的整体表征。

Learning modulates the ensemble representations for odors in primary olfactory networks.

作者信息

Daly Kevin C, Christensen Thomas A, Lei Hong, Smith Brian H, Hildebrand John G

机构信息

Department of Entomology, Ohio State University, 400 Aronoff Laboratory, 318 West 12th Avenue, Columbus, OH 43210, USA.

出版信息

Proc Natl Acad Sci U S A. 2004 Jul 13;101(28):10476-81. doi: 10.1073/pnas.0401902101. Epub 2004 Jul 1.

Abstract

Recent evidence suggests that odor-driven responses in the insect antennal lobe (AL) can be modified by associative and nonassociative processes, as has been shown in the vertebrate olfactory bulb. However, the specific network changes that occur in response to olfactory learning remain unknown. To characterize changes in AL network activity during learning, we developed an in vivo protocol in Manduca sexta that allows continuous monitoring of neural ensembles and feeding behavior over the course of olfactory conditioning. Here, we show that Pavlovian conditioning produced a net recruitment of responsive neural units across the AL that persisted after conditioning. Recruitment only occurred when odor reliably predicted food. Conversely, when odor did not predict food, a net loss of responsive units occurred. Simultaneous measures of feeding responses indicated that the treatment-specific patterns of neural recruitment were positively correlated with changes in the insect's behavioral response to odor. In addition to recruitment, conditioning also produced consistent and profound shifts in the temporal responses of 16% of recorded units. These results show that odor representations in the AL are dynamic and related to olfactory memory consolidation. We furthermore provide evidence that the basis of the learning-dependent changes in the AL is not simply an increase in activity in the neural network representing an odorant. Rather, learning produces a restructuring of spatial and temporal components of network responses to odor in the AL.

摘要

最近的证据表明,昆虫触角叶(AL)中由气味驱动的反应可以通过联想和非联想过程进行调节,这在脊椎动物嗅球中已经得到证实。然而,嗅觉学习后发生的具体网络变化仍然未知。为了表征学习过程中AL网络活动的变化,我们在烟草天蛾中开发了一种体内实验方案,该方案可以在嗅觉条件反射过程中持续监测神经集群和进食行为。在此,我们表明经典条件反射在整个AL中产生了反应性神经单元的净募集,这种募集在条件反射后仍然持续。只有当气味可靠地预测食物时,募集才会发生。相反,当气味不能预测食物时,反应性单元会出现净损失。同时测量进食反应表明,神经募集的特定处理模式与昆虫对气味的行为反应变化呈正相关。除了募集外,条件反射还使16%的记录单元的时间反应产生了一致而深刻的变化。这些结果表明,AL中的气味表征是动态的,并且与嗅觉记忆巩固有关。我们进一步提供证据表明,AL中依赖于学习的变化的基础不仅仅是代表一种气味剂的神经网络活动的增加。相反,学习会导致AL中网络对气味反应的空间和时间成分的重组。

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