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通过人工智能散斑图案分析感知犬脑对气味的反应。

Sensing Dog Brain Reactions to Smell by AI Speckle Pattern Analysis.

作者信息

Propp Ilana, Beiderman Marianna, Agdarov Sergey, Beiderman Yafim, Blum Maxi, Zalevsky Zeev

机构信息

Faculty of Engineering and the Nanotechnology Center, Bar Ilan University, Ramat Gan, Israel.

Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

J Biophotonics. 2025 Jun;18(6):e202400501. doi: 10.1002/jbio.202400501. Epub 2025 Mar 11.

Abstract

Investigation of a dog's brain activity related to their outstanding olfactory capabilities has been a topic of interest among researchers. For this specific study, we identified three areas of the brain that have been shown in previous studies to be relevant during the process of smell discrimination in dogs: the olfactory bulb, hippocampus, and amygdala. We set up a detection structure system based on laser and a camera to capture speckle patterns on the three regions in four dog breeds for smell stimuli: garlic, menthol, alcohol, and marijuana. The results were analyzed using an XGBoost model. Our analysis revealed that the amygdala plays a crucial role in scent differentiation. Our work offers insight into leveraging the features that characterize distinct scents in the canine brain, paving the way for developing a compact device that can interpret and translate a dog's olfactory perceptions for human understanding.

摘要

对与狗卓越嗅觉能力相关的大脑活动进行研究一直是研究人员感兴趣的话题。在这项具体研究中,我们确定了大脑的三个区域,先前的研究表明这些区域在狗的嗅觉辨别过程中具有相关性:嗅球、海马体和杏仁核。我们基于激光和摄像头建立了一个检测结构系统,以捕捉四种犬种在面对大蒜、薄荷醇、酒精和大麻等嗅觉刺激时这三个区域上的散斑图案。使用XGBoost模型对结果进行分析。我们的分析表明,杏仁核在气味区分中起着关键作用。我们的工作为利用犬类大脑中独特气味的特征提供了见解,为开发一种能够解释并将狗的嗅觉感知转化为人类可理解内容的紧凑型设备铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceab/12162165/47a9d4b028f7/JBIO-18-e202400501-g004.jpg

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