Literature DB >> 20199934

Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI.

Leonid I Perlovsky1.   

Abstract

Processes in the mind: perception, cognition, concepts, instincts, emotions, and higher cognitive abilities for abstract thinking, beautiful music are considered here within a neural modeling fields (NMFs) paradigm. Its fundamental mathematical mechanism is a process "from vague-fuzzy to crisp," called dynamic logic (DL). This paper discusses why this paradigm is necessary mathematically, and relates it to a psychological description of the mind. Surprisingly, the process from "vague to crisp" corresponds to Aristotelian understanding of mental functioning. Recent functional magnetic resonance imaging (fMRI) measurements confirmed this process in neural mechanisms of perception.

Mesh:

Year:  2010        PMID: 20199934     DOI: 10.1109/TNN.2010.2041250

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  9 in total

1.  Vague-to-crisp dynamics of percept formation modeled as operant (selectionist) process.

Authors:  Roman Ilin; Jun Zhang; Leonid Perlovsky; Robert Kozma
Journal:  Cogn Neurodyn       Date:  2013-08-04       Impact factor: 5.082

2.  Musical Enjoyment and Reward: From Hedonic Pleasure to Eudaimonic Listening.

Authors:  Mark Reybrouck; Tuomas Eerola
Journal:  Behav Sci (Basel)       Date:  2022-05-19

3.  Neurally and mathematically motivated architecture for language and thought.

Authors:  L I Perlovsky; R Ilin
Journal:  Open Neuroimag J       Date:  2010-07-08

4.  Language and cognition interaction neural mechanisms.

Authors:  Leonid Perlovsky
Journal:  Comput Intell Neurosci       Date:  2011-08-24

5.  Physics of the Mind.

Authors:  Leonid I Perlovsky
Journal:  Front Syst Neurosci       Date:  2016-11-15

6.  Beauty and Uncertainty as Transformative Factors: A Free Energy Principle Account of Aesthetic Diagnosis and Intervention in Gestalt Psychotherapy.

Authors:  Pietro Sarasso; Gianni Francesetti; Jan Roubal; Michela Gecele; Irene Ronga; Marco Neppi-Modona; Katiuscia Sacco
Journal:  Front Hum Neurosci       Date:  2022-07-13       Impact factor: 3.473

7.  Learning in brain and machine-complexity, Gödel, Aristotle.

Authors:  Leonid Perlovsky
Journal:  Front Neurorobot       Date:  2013-11-27       Impact factor: 2.650

8.  Brain. Conscious and unconscious mechanisms of cognition, emotions, and language.

Authors:  Leonid Perlovsky; Roman Ilin
Journal:  Brain Sci       Date:  2012-12-18

Review 9.  History and application of artificial neural networks in dentistry.

Authors:  Wook Joo Park; Jun-Beom Park
Journal:  Eur J Dent       Date:  2018 Oct-Dec
  9 in total

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