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一种用于基于内容的图像检索的皮质柱生物形态模型。

A Biomorphic Model of Cortical Column for Content-Based Image Retrieval.

作者信息

Telnykh Alexander, Nuidel Irina, Shemagina Olga, Yakhno Vladimir

机构信息

Autowave Processes Laboratory, Department of Radiophysical Methods in Medicine, Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences (IAP RAS), 603950 Nizhny Novgorod, Russia.

Neurotechnologies Department of the Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod (UNN), 603022 Nizhny Novgorod, Russia.

出版信息

Entropy (Basel). 2021 Nov 3;23(11):1458. doi: 10.3390/e23111458.

DOI:10.3390/e23111458
PMID:34828156
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8620877/
Abstract

How do living systems process information? The search for an answer to this question is ongoing. We have developed an intelligent video analytics system. The process of the formation of detectors for content-based image retrieval aimed at detecting objects of various types simulates the operation of the structural and functional modules for image processing in living systems. The process of detector construction is, in fact, a model of the formation (or activation) of connections in the cortical column (structural and functional unit of information processing in the human and animal brain). The process of content-based image retrieval, that is, the detection of various types of images in the developed system, reproduces the process of "triggering" a model biomorphic column, i.e., a detector in which connections are formed during the learning process. The recognition process is a reaction of the receptive field of the column to the activation by a given signal. Since the learning process of the detector can be visualized, it is possible to see how a column (a detector of specific stimuli) is formed: a face, a digit, a number, etc. The created artificial cognitive system is a biomorphic model of the recognition column of living systems.

摘要

生命系统是如何处理信息的?对这个问题的答案的探寻仍在进行中。我们开发了一个智能视频分析系统。用于基于内容的图像检索的检测器的形成过程旨在检测各种类型的物体,它模拟了生命系统中图像处理的结构和功能模块的运作。实际上,检测器的构建过程是皮质柱(人类和动物大脑中信息处理的结构和功能单元)中连接形成(或激活)的模型。基于内容的图像检索过程,即在已开发系统中检测各种类型的图像,再现了“触发”模型生物形态柱的过程,也就是在学习过程中形成连接的检测器。识别过程是柱的感受野对给定信号激活的反应。由于检测器的学习过程可以可视化,所以能够看到柱(特定刺激的检测器)是如何形成的:一张脸、一个数字、一个号码等等。所创建的人工认知系统是生命系统识别柱的生物形态模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/166d0d96c851/entropy-23-01458-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/75667262d245/entropy-23-01458-g0A1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/6e1836103ebc/entropy-23-01458-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/c3e58a89639b/entropy-23-01458-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/52fe9d5a69c0/entropy-23-01458-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/844292e068dd/entropy-23-01458-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/1c641c047f9a/entropy-23-01458-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/166d0d96c851/entropy-23-01458-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/75667262d245/entropy-23-01458-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/ad76caf31ea2/entropy-23-01458-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/eefe733860b5/entropy-23-01458-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/6e1836103ebc/entropy-23-01458-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/c3e58a89639b/entropy-23-01458-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/52fe9d5a69c0/entropy-23-01458-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/844292e068dd/entropy-23-01458-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/1c641c047f9a/entropy-23-01458-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2852/8620877/166d0d96c851/entropy-23-01458-g008.jpg

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