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Odor Experience Facilitates Sparse Representations of New Odors in a Large-Scale Olfactory Bulb Model

机译:气味经验有助于大型嗅觉灯泡模型中新气味的稀疏表示

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摘要

Prior odor experience has a profound effect on the coding of new odor inputs by animals. The olfactory bulb, the first relay of the olfactory pathway, can substantially shape the representations of odor inputs. How prior odor experience affects the representation of new odor inputs in olfactory bulb and its underlying network mechanism are still unclear. Here we carried out a series of simulations based on a large-scale realistic mitral-granule network model and found that prior odor experience not only accelerated formation of the network, but it also significantly strengthened sparse responses in the mitral cell network while decreasing sparse responses in the granule cell network. This modulation of sparse representations may be due to the increase of inhibitory synaptic weights. Correlations among mitral cells within the network and correlations between mitral network responses to different odors decreased gradually when the number of prior training odors was increased, resulting in a greater decorrelation of the bulb representations of input odors. Based on these findings, we conclude that the degree of prior odor experience facilitates degrees of sparse representations of new odors by the mitral cell network through experience-enhanced inhibition mechanism.
机译:先前的气味经验对动物编码新的气味有深远的影响。嗅球是嗅觉通路的第一中继,可以基本上改变气味输入的表示形式。以前的气味经验如何影响嗅球中新气味输入的表示及其潜在的网络机制仍不清楚。在这里,我们基于大规模的现实二尖瓣-颗粒网络模型进行了一系列模拟,发现先前的气味不仅加速了网络的形成,而且还显着增强了二尖瓣细胞网络中的稀疏响应,同时降低了稀疏响应在颗粒细胞网络中。稀疏表示的这种调节可能是由于抑制性突触权重的增加。当先前训练气味的数量增加时,网络中二尖瓣细胞之间的相关性以及二尖瓣网络对不同气味的响应之间的相关性逐渐降低,从而导致输入气味的灯泡表示形式具有更大的去相关性。基于这些发现,我们得出结论,先前的气味经验的程度通过经验增强的抑制机制促进了二尖瓣细胞网络稀疏表示新气味的程度。

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