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嗅球中信号的气味编码。

Odor encoding by signals in the olfactory bulb.

机构信息

The John B. Pierce Laboratory, New Haven, Connecticut.

Department of Neuroscience, Yale University, New Haven, Connecticut.

出版信息

J Neurophysiol. 2023 Feb 1;129(2):431-444. doi: 10.1152/jn.00449.2022. Epub 2023 Jan 4.

Abstract

To understand the operation of the olfactory system, it is essential to know how information is encoded in the olfactory bulb. We applied Shannon information theoretic methods to address this, with signals from up to 57 glomeruli simultaneously optically imaged from presynaptic inputs in glomeruli in the mouse dorsal (dOB) and lateral (lOB) olfactory bulb, in response to six exemplar pure chemical odors. We discovered that, first, the tuning of these signals from glomeruli to a set of odors is remarkably broad, with a mean sparseness of 0.83 and a mean signal correlation of 0.64. Second, both of these factors contribute to the low information that is available from the responses of even populations of many tens of glomeruli, which was only 1.35 bits across 33 glomeruli on average, compared with the 2.58 bits required to perfectly encode these six odors. Third, although there is considerable interest in the possibility of temporal encoding of stimulus including odor identity, the amount of information in the temporal aspects of the presynaptic glomerular responses was low (mean 0.11 bits) and, importantly, was redundant with respect to the information available from the rates. Fourth, the information from simultaneously recorded glomeruli asymptotes very gradually and nonlinearly, showing that glomeruli do not have independent responses. Fifth, the information from a population became available quite rapidly, within 100 ms of sniff onset, and the peak of the glomerular response was at 200 ms. Sixth, the information from the lOB was not additive with that of the dOB. We report broad tuning and low odor information available across the lateral and dorsal bulb populations of glomeruli. Even though response latencies can be significantly predictive of stimulus identity, such contained very little information and none that was not redundant with information based on rate coding alone. Last, in line with the emerging notion of the important role of earliest stages of responses ("primacy"), we report a very rapid rise in information after each inhalation.

摘要

为了理解嗅觉系统的运作,必须要知道信息是如何在嗅球中编码的。我们应用香农信息论方法来解决这个问题,同时对来自 57 个嗅球的信号进行光学成像,这些信号来自于在嗅球背侧(dOB)和外侧(lOB)中突触前输入的 6 个纯化学气味的响应。我们发现,首先,从嗅球到一组气味的信号调谐非常广泛,平均稀疏度为 0.83,平均信号相关性为 0.64。其次,这两个因素都导致了即使是几十甚至几百个嗅球的反应中可用的信息量很低,平均只有 33 个嗅球的平均信息量为 1.35 位,而完美编码这 6 种气味所需的信息量为 2.58 位。第三,尽管人们对包括气味识别在内的刺激的时间编码的可能性很感兴趣,但在突触前嗅球反应的时间方面,信息量很低(平均 0.11 位),并且重要的是,与来自速率的信息量相比是冗余的。第四,同时记录的嗅球的信息量逐渐而非线性地渐近,表明嗅球没有独立的反应。第五,群体的信息很快就可以获得,在嗅探开始后 100 毫秒内,并且嗅球反应的峰值出现在 200 毫秒。第六,lOB 的信息与 dOB 的信息不具有加性。我们报告了嗅球的外侧和背侧群体广泛的调谐和可用的低气味信息。即使反应潜伏期可以显著预测刺激的身份,但这种信息包含的信息量非常少,而且没有与仅基于速率编码的信息冗余。最后,与反应早期阶段(“首要性”)的重要作用的新兴概念一致,我们报告了每次吸入后信息迅速上升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c4/9925169/6f155cbd93ff/jn-00449-2022r01.jpg

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