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Sniff Invariant Odor Coding

机译:嗅不变气味编码

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摘要

Sampling regulates stimulus intensity and temporal dynamics at the sense organ. Despite variations in sampling behavior, animals must make veridical perceptual judgments about external stimuli. In olfaction, odor sampling varies with respiration, which influences neural responses at the olfactory periphery. Nevertheless, rats were able to perform fine odor intensity judgments despite variations in sniff kinetics. To identify the features of neural activity supporting stable intensity perception, in awake mice we measured responses of mitral/tufted (MT) cells to different odors and concentrations across a range of sniff frequencies. Amplitude and latency of the MT cells’ responses vary with sniff duration. A fluid dynamics (FD) model based on odor concentration kinetics in the intranasal cavity can account for this variability. Eliminating sniff waveform dependence of MT cell responses using the FD model allows for significantly better decoding of concentration. This suggests potential schemes for sniff waveform invariant odor concentration coding.
机译:采样调节感觉器官的刺激强度和时间动态。尽管采样行为有所不同,动物仍必须对外部刺激做出垂直的感性判断。在嗅觉中,气味采样随呼吸而变化,这会影响嗅觉周围的神经反应。尽管如此,尽管嗅觉动力学有所变化,大鼠仍能够执行精细的气味强度判断。为了确定支持稳定强度感知的神经活动特征,在清醒的小鼠中,我们测量了二尖瓣/簇绒状(MT)细胞在嗅闻频率范围内对不同气味和浓度的反应。 MT细胞响应的幅度和潜伏期随嗅闻持续时间而变化。基于鼻腔内气味浓度动力学的流体动力学(FD)模型可以解释这种变化。使用FD模型消除MT细胞响应的嗅探波形依赖性,可以对浓度进行更好的解码。这暗示了嗅探波形不变气味浓度编码的潜在方案。

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