A mixed mechano-olfactory code for sniff-invariant odor representations

bioRxiv (Cold Spring Harbor Laboratory)(2023)

引用 0|浏览0
暂无评分
摘要
Summary Sampling behaviors have sensory consequences that can hinder perceptual stability. In olfaction, sniffing affects early odor encoding, mimicking a sudden change in odor concentration. Here, we examined how the inhalation speed impacts the representation of odor concentration in the main olfactory cortex. Neurons combine the odor input with a global top-down signal preceding the sniff and a mechanosensory feedback generated by the air passage through the nose during an inhalation. Still, the population representation of concentration is remarkably sniff-invariant. This is because the mechanosensory and olfactory responses are uncorrelated within and across neurons. Thus, a faster odor inhalation and a concentration increase change the cortical activity pattern in distinct ways. This encoding strategy affords tolerance to potential concentration fluctuations caused by varying inhalation speeds. Since mechanosensory reafferences are widespread across sensory systems, the coding scheme described here may be a canonical strategy to mitigate the sensory ambiguities caused by movements.
更多
查看译文
关键词
mechano-olfactory,sniff-invariant
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要