18 found
Order:
Disambiguations
Leonid Perlovsky [14]Leonid I. Perlovsky [5]
  1.  14
    Origin of Music and Embodied Cognition.Leonid Perlovsky - 2015 - Frontiers in Psychology 6.
  2.  10
    Aesthetic Chills: Knowledge-Acquisition, Meaning-Making, and Aesthetic Emotions.Felix Schoeller & Leonid Perlovsky - 2016 - Frontiers in Psychology 7.
  3.  24
    Neuroscientific Insights on Biblical Myths.Daniel S. Levine & Leonid I. Perlovsky - 2008 - Zygon 43 (4):797-821.
    Direct download  
     
    Export citation  
     
    Bookmark   7 citations  
  4.  27
    Syntax Meets Semantics During Brain Logical Computations.Arturo Tozzi, James F. Peters, Andrew And Alexander Fingelkurts & Leonid Perlovsky - 2018 - Progress in Biophysics and Molecular Biology 140:133-141.
    The discrepancy between syntax and semantics is a painstaking issue that hinders a better comprehension of the underlying neuronal processes in the human brain. In order to tackle the issue, we at first describe a striking correlation between Wittgenstein's Tractatus, that assesses the syntactic relationships between language and world, and Perlovsky's joint language-cognitive computational model, that assesses the semantic relationships between emotions and “knowledge instinct”. Once established a correlation between a purely logical approach to the language and computable psychological activities, (...)
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  5.  15
    Symbols: Integrated Cognition and Language.Leonid I. Perlovsky - 2007 - In R. Gudwin & J. Queiroz (eds.), Semiotics and Intelligent Systems Development. Idea Group. pp. 121--151.
  6.  15
    Human Consciousness is Fundamental for Perception and Highest Emotions.Leonid Perlovsky - 2016 - Behavioral and Brain Sciences 39.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  7.  13
    Near-Infrared Spectroscopy in Functional Research of Prefrontal Cortex.Nobuo Masataka, Leonid Perlovsky & Kazuo Hiraki - 2015 - Frontiers in Human Neuroscience 9.
  8.  80
    Simplifying Heuristics Versus Careful Thinking: Scientific Analysis of Millennial Spiritual Issues.Daniel S. Levine & Leonid I. Perlovsky - 2008 - Zygon 43 (4):797-821.
    There is ample evidence that humans (and other primates) possess a knowledge instinct—a biologically driven impulse to make coherent sense of the world at the highest level possible. Yet behavioral decision-making data suggest a contrary biological drive to minimize cognitive effort by solving problems using simplifying heuristics. Individuals differ, and the same person varies over time, in the strength of the knowledge instinct. Neuroimaging studies suggest which brain regions might mediate the balance between knowledge expansion and heuristic simplification. One region (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  9.  16
    Mystery in Experimental Psychology, How to Measure Aesthetic Emotions?Leonid Perlovsky - 2014 - Frontiers in Psychology 5.
  10.  38
    Free Will and Advances in Cognitive Science.Leonid Perlovsky - 2012 - Open Journal of Philosophy 2 (1):32-37.
    Freedom of will is fundamental to morality, intuition of self, and normal functioning of society. However, science does not provide a clear logical foundation for this idea. This paper considers the fundamental argument against free will, so called reductionism, and why the choice for dualism against monism, follows logically. Then, the paper summarizes unexpected conclusions from recent discoveries in cognitive science. Classical logic turns out not to be a fundamental mechanism of the mind. It is replaced by dynamic logic. Mathematical (...)
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  11.  3
    Scientific Intuitions About the Mind Are Wrong, Misled by Consciousness.Leonid Perlovsky - 2016 - Behavioral and Brain Sciences 39.
    Logic is a fundamental reason why computational accounts of the mind have failed. Combinatorial complexity preventing computational accounts is equivalent to the Gödelian incompleteness of logic. The mind is not logical, but only logical states and processes in the mind are accessible to subjective consciousness. For this reason, intuitions of psychologists, cognitive scientists, and mathematicians modeling the mind are biased toward logic. This is also true about the changes proposed inAfter Phrenology.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  12.  27
    Emotions of “Higher” Cognition.Leonid Perlovsky - 2012 - Behavioral and Brain Sciences 35 (3):157-158.
    The target article by Lindquist et al. considers discrete emotions. This commentary argues that these are but a minor part of human emotional abilities, unifying us with animals. Uniquely human emotions are aesthetic emotions related to the need for the knowledge of cognition, including emotions of the beautiful, cognitive dissonances, and musical emotions. This commentary touches on their cognitive functions and origins.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  13.  81
    Modeling of Phenomena and Dynamic Logic of Phenomena.Boris Kovalerchuk, Leonid Perlovsky & Gregory Wheeler - 2011 - Journal of Applied Non-Classical Logic 22 (1):1-82.
    Modeling a complex phenomena such as the mind presents tremendous computational complexity challenges. Modeling field theory (MFT) addresses these challenges in a non-traditional way. The main idea behind MFT is to match levels of uncertainty of the model (also, a problem or some theory) with levels of uncertainty of the evaluation criterion used to identify that model. When a model becomes more certain, then the evaluation criterion is adjusted dynamically to match that change to the model. This process is called (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark  
  14.  6
    Editorial: The Evolution of Music.Aleksey Nikolsky & Leonid Perlovsky - 2020 - Frontiers in Psychology 11.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  15.  11
    Editorial: Representation in the Brain.Asim Roy, Leonid Perlovsky, Tarek R. Besold, Juyang Weng & Jonathan C. W. Edwards - 2018 - Frontiers in Psychology 9.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  16.  17
    Modelling Phenomena and Dynamic Logic of Phenomena.Boris Kovalerchuk, Leonid Perlovsky & Gregory Wheeler - 2012 - Journal of Applied Non-Classical Logics 22 (1-2):53-82.
    Modelling a complex phenomenon such as the mind presents tremendous computational complexity challenges. Modelling field theory addresses these challenges in a non-traditional way. The main idea behind MFT is to match levels of uncertainty of the model with levels of uncertainty of the evaluation criterion used to identify that model. When a model becomes more certain, then the evaluation criterion is adjusted dynamically to match that change to the model. This process is called the Dynamic Logic of Phenomena for model (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  17.  18
    The Mind Vs. Logic: Aristotle and Zadeh.Leonid I. Perlovsky - 2007 - Critical Review: Society for the Mathematics of Uncertainty 1 (1):30-33.
  18.  6
    Reductionism – Simplified and Scientific.Leonid Perlovsky - 2019 - Behavioral and Brain Sciences 42.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark