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Sparse Distributed Representation of Odors in a Large-scale Olfactory Bulb Circuit

机译:大型嗅球电路中气味的稀疏分布表示

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In the olfactory bulb, lateral inhibition mediated by granule cells has been suggested to modulate the timing of mitral cell firing, thereby shaping the representation of input odorants. Current experimental techniques, however, do not enable a clear study of how the mitral-granule cell network sculpts odor inputs to represent odor information spatially and temporally. To address this critical step in the neural basis of odor recognition, we built a biophysical network model of mitral and granule cells, corresponding to 1/100th of the real system in the rat, and used direct experimental imaging data of glomeruli activated by various odors. The model allows the systematic investigation and generation of testable hypotheses of the functional mechanisms underlying odor representation in the olfactory bulb circuit. Specifically, we demonstrate that lateral inhibition emerges within the olfactory bulb network through recurrent dendrodendritic synapses when constrained by a range of balanced excitatory and inhibitory conductances. We find that the spatio-temporal dynamics of lateral inhibition plays a critical role in building the glomerular-related cell clusters observed in experiments, through the modulation of synaptic weights during odor training. Lateral inhibition also mediates the development of sparse and synchronized spiking patterns of mitral cells related to odor inputs within the network, with the frequency of these synchronized spiking patterns also modulated by the sniff cycle.
机译:在嗅球中,已提出由颗粒细胞介导的侧向抑制作用可调节二尖瓣细胞发射的时间,从而改变输入气味的表现形式。但是,当前的实验技术无法对二尖粒细胞网络如何雕刻气味输入以在空间和时间上代表气味信息进行清晰的研究。为了解决气味识别的神经基础中的这一关键步骤,我们建立了二尖瓣和颗粒细胞的生物物理网络模型,对应于大鼠真实系统的1/100,并使用了由各种气味激活的肾小球的直接实验成像数据。该模型可以对嗅球回路中气味表示所依据的功能机制进行系统研究,并生成可检验的假设。具体来说,我们证明了当受到一系列平衡的兴奋性和抑制性电导的约束时,通过周期性的树突状突触在嗅球网络内出现侧向抑制。我们发现,通过抑制气味训练过程中突触权重的调节,侧向抑制的时空动力学在建立实验中观察到的肾小球相关细胞簇中起着关键作用。横向抑制还介导了与网络内的气味输入有关的二尖瓣细胞的稀疏和同步峰值模式的发展,这些同步峰值模式的频率也由嗅觉循环调节。

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