Neurogenesis drives stimulus decorrelation in a model of the olfactory bulb.
Neurogenesis drives stimulus decorrelation in a model of the olfactory bulb.
复制标题
神经发生驱动嗅球模型中的刺激去相关。
DOI：
10.1371/journal.pcbi.1002398
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发表时间：
2012
影响因子：
4.3
通讯作者：
Riecke H
中科院分区：
文献类型：
--
作者：
Chow SF;Wick SD;Riecke H
神经网络对相似的活动模式进行整形和去相关，可以提高它们的可识别性、存储和检索能力。当新的复杂模式出现在嗅觉系统中时，这样的网络如何学习去关联它们？使用嗅球主要神经群体的计算网络模型，我们表明在嗅球中观察到的成体神经发生的基本方面--新的抑制性颗粒细胞的持续加入网络，它们的活动依赖性生存，以及它们与主要二尖瓣细胞的突触的互易性-足以重构网络并适应性地改变其气味刺激的编码，以减少相似刺激的球表示之间的相关性。对于互易性的各种类型的扰动，解相关是相当稳健的。该模型简单易行地捕捉到了实验观察到的神经发生在知觉学习中的作用，以及年轻颗粒细胞对新刺激的增强反应。此外，它还对气味浓缩的类型进行了具体预测，这应该能有效地提高动物辨别类似气味混合物的能力。嗅球是大脑中仅有的两个持续增加大量新神经元的区域之一，即使在成年动物中也是如此。这导致中间神经元的持续更新，特别是组成嗅球最大细胞群的抑制颗粒细胞。这种成体神经发生在嗅觉加工中的作用还知之甚少。实验表明，它有助于知觉学习。我们提出了一个基本的计算模型，该模型建立在颗粒细胞的基本方面以及它们与兴奋性二尖瓣细胞的联系上，兴奋性二尖瓣细胞将嗅觉信息传递到高级大脑区域。我们表明，神经发生可以重塑网络连通性，以响应嗅觉输入，从而降低球表示之间的相关性，即使高度相似的刺激。刺激表征的神经遗传适应为知觉学习和实验中观察到的年轻和老年颗粒细胞对新气味的不同反应提供了自然的解释。该模型为增强气味混合物辨别能力的训练方案做出了可实验测试的预测。
The reshaping and decorrelation of similar activity patterns by neuronal networks can enhance their discriminability, storage, and retrieval. How can such networks learn to decorrelate new complex patterns, as they arise in the olfactory system? Using a computational network model for the dominant neural populations of the olfactory bulb we show that fundamental aspects of the adult neurogenesis observed in the olfactory bulb – the persistent addition of new inhibitory granule cells to the network, their activity-dependent survival, and the reciprocal character of their synapses with the principal mitral cells – are sufficient to restructure the network and to alter its encoding of odor stimuli adaptively so as to reduce the correlations between the bulbar representations of similar stimuli. The decorrelation is quite robust with respect to various types of perturbations of the reciprocity. The model parsimoniously captures the experimentally observed role of neurogenesis in perceptual learning and the enhanced response of young granule cells to novel stimuli. Moreover, it makes specific predictions for the type of odor enrichment that should be effective in enhancing the ability of animals to discriminate similar odor mixtures. The olfactory bulb is one of only two brain regions in which new neurons are added persistently in substantial numbers even in adult animals. This leads to an ongoing turnover of interneurons, in particular of the inhibitory granule cells, which constitute the largest cell population of the olfactory bulb. The function of this adult neurogenesis in olfactory processing is only poorly understood. Experiments show that it contributes to perceptual learning. We present a basic computational model that is built on fundamental aspects of the granule cells and their connections with the excitatory mitral cells, which convey the olfactory information to higher brain areas. We show that neurogenesis can reshape the network connectivity in response to olfactory input so as to reduce the correlations between the bulbar representations of even highly similar stimuli. The neurogenetic adaptation of the stimulus representations provides a natural explanation of the perceptual learning and the different response of young and old granule cells to novel odors that have been observed in experiments. The model makes experimentally testable predictions for training protocols that enhance the discriminability of odor mixtures.
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影响因子：
3.4
作者：
Escanilla, Olga;Arrellanos, Adolfo;Linster, Christiane
通讯作者：
Linster, Christiane
DOI：
10.1073/pnas.0608564104
发表时间：
2007-02-06
影响因子：
11.1
作者：
Cleland, Thomas A.;Johnson, Brett A.;Linster, Christiane
通讯作者：
Linster, Christiane
影响因子：
25
作者：
Imayoshi, Itaru;Sakamoto, Masayuki;Kageyama, Ryoichiro
通讯作者：
Kageyama, Ryoichiro
影响因子：
1.9
作者：
Chaudhury, Dipesh;Manella, Laura;Arellanos, Adolfo;Escanilla, Olga;Cleland, Thomas A.;Linster, Christiane
通讯作者：
Linster, Christiane
影响因子：
25
作者：
Friedrich, RW;Habermann, CJ;Laurent, G
通讯作者：
Laurent, G