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The Understanding Capacity and Information Dynamics in the Human Brain
This article proposes a theory of neuronal processes underlying cognition, focusing on the mechanisms of understanding in the human brain. Understanding is a product of mental modeling. The paper argues that mental modeling is a form of information production inside the neuronal system extending the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514789/ https://www.ncbi.nlm.nih.gov/pubmed/33267023 http://dx.doi.org/10.3390/e21030308 |
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author | Yufik, Yan M. |
author_facet | Yufik, Yan M. |
author_sort | Yufik, Yan M. |
collection | PubMed |
description | This article proposes a theory of neuronal processes underlying cognition, focusing on the mechanisms of understanding in the human brain. Understanding is a product of mental modeling. The paper argues that mental modeling is a form of information production inside the neuronal system extending the reach of human cognition “beyond the information given” (Bruner, J.S., Beyond the Information Given, 1973). Mental modeling enables forms of learning and prediction (learning with understanding and prediction via explanation) that are unique to humans, allowing robust performance under unfamiliar conditions having no precedents in the past history. The proposed theory centers on the notions of self-organization and emergent properties of collective behavior in the neuronal substrate. The theory motivates new approaches in the design of intelligent artifacts (machine understanding) that are complementary to those underlying the technology of machine learning. |
format | Online Article Text |
id | pubmed-7514789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75147892020-11-09 The Understanding Capacity and Information Dynamics in the Human Brain Yufik, Yan M. Entropy (Basel) Article This article proposes a theory of neuronal processes underlying cognition, focusing on the mechanisms of understanding in the human brain. Understanding is a product of mental modeling. The paper argues that mental modeling is a form of information production inside the neuronal system extending the reach of human cognition “beyond the information given” (Bruner, J.S., Beyond the Information Given, 1973). Mental modeling enables forms of learning and prediction (learning with understanding and prediction via explanation) that are unique to humans, allowing robust performance under unfamiliar conditions having no precedents in the past history. The proposed theory centers on the notions of self-organization and emergent properties of collective behavior in the neuronal substrate. The theory motivates new approaches in the design of intelligent artifacts (machine understanding) that are complementary to those underlying the technology of machine learning. MDPI 2019-03-21 /pmc/articles/PMC7514789/ /pubmed/33267023 http://dx.doi.org/10.3390/e21030308 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yufik, Yan M. The Understanding Capacity and Information Dynamics in the Human Brain |
title | The Understanding Capacity and Information Dynamics in the Human Brain |
title_full | The Understanding Capacity and Information Dynamics in the Human Brain |
title_fullStr | The Understanding Capacity and Information Dynamics in the Human Brain |
title_full_unstemmed | The Understanding Capacity and Information Dynamics in the Human Brain |
title_short | The Understanding Capacity and Information Dynamics in the Human Brain |
title_sort | understanding capacity and information dynamics in the human brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514789/ https://www.ncbi.nlm.nih.gov/pubmed/33267023 http://dx.doi.org/10.3390/e21030308 |
work_keys_str_mv | AT yufikyanm theunderstandingcapacityandinformationdynamicsinthehumanbrain AT yufikyanm understandingcapacityandinformationdynamicsinthehumanbrain |