Who Says Formalized Models are Appropriate for Describing Living Systems?

Yakhno, V. G.; Парин, С. Б.; Polevaya, S. A.; Nuidel, I. V.; Shemagina, Olga

doi:10.1007/978-3-030-60577-3_2

Cited by 2 publications

(2 citation statements)

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“…The creation of a theory of the brain is on the agenda. Let us consider two different approaches to this difficult task: the development of hypernet brain theory [28][29][30] and the development of formalized models for describing living systems [31].…”

Section: From Experimental Data To Brain Theorymentioning

confidence: 99%

“…Another approach to the development of the theory of the brain is the development of formalized models for describing living systems for common understanding and the development of a single language for describing the reactions of living systems to the perception of various sensory signals [31,35].…”

Section: Development Of Formalized Models For Describing Living Systemsmentioning

confidence: 99%

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A Biomorphic Model of Cortical Column for Content—Based Image Retrieval

Telnykh

Nuidel

Shemagina

et al. 2021

Entropy

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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.

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Section: From Experimental Data To Brain Theorymentioning

confidence: 99%

Section: Development Of Formalized Models For Describing Living Systemsmentioning

confidence: 99%