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  1. Book: Neural dynamic logic of consciousness

    Perlovsky, Leonid I.

    the knowledge instinct ; interim report

    2007  

    Author's details Leonid I. Perlovsky
    Language English
    Size VI, 36 S. : Ill., graph. Darst.
    Publisher Storming Media
    Publishing place Washington, DC
    Publishing country United States
    Document type Book
    HBZ-ID HT015707473
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2008 A 6323 order for loan Magazin

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  2. Book: Neurodynamics of cognition and consciousness

    Perlovsky, Leonid I.

    with 17 tables

    (Understanding complex systems ; Springer complexity)

    2007  

    Author's details Leonid I. Perlovsky ... ed
    Series title Understanding complex systems
    Springer complexity
    Keywords Cognition / physiology ; Consciousness / physiology ; Models, Theoretical ; Artificial Intelligence ; Kognition ; Bewusstsein ; Neurobiologie
    Subject Kognition ; Kognitive Ordnung ; Kognitive Struktur
    Subject code 153
    Language English
    Size XI, 366 S. : zahlr. Ill. und graph. Darst.
    Publisher Springer
    Publishing place Berlin u.a.
    Publishing country Germany
    Document type Book
    Note Literaturangeben
    HBZ-ID HT015378439
    ISBN 978-3-540-73266-2 ; 3-540-73266-7
    Database Catalogue ZB MED Medicine, Health

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  3. Article: Physics of the Mind.

    Perlovsky, Leonid I

    Frontiers in systems neuroscience

    2016  Volume 10, Page(s) 84

    Abstract: Is it possible to turn psychology into "hard science"? Physics of the mind follows the fundamental methodology of physics in all areas where physics have been developed. What is common among Newtonian mechanics, statistical physics, quantum physics, ... ...

    Abstract Is it possible to turn psychology into "hard science"? Physics of the mind follows the fundamental methodology of physics in all areas where physics have been developed. What is common among Newtonian mechanics, statistical physics, quantum physics, thermodynamics, theory of relativity, astrophysics… and a theory of superstrings? The common among all areas of physics is a methodology of physics discussed in the first few lines of the paper. Is physics of the mind possible? Is it possible to describe the mind based on the few first principles as physics does? The mind with its variabilities and uncertainties, the mind from perception and elementary cognition to emotions and abstract ideas, to high cognition. Is it possible to turn psychology and neuroscience into "hard" sciences? The paper discusses established first principles of the mind, their mathematical formulations, and a mathematical model of the mind derived from these first principles, mechanisms of concepts, emotions, instincts, behavior, language, cognition, intuitions, conscious and unconscious, abilities for symbols, functions of the beautiful and musical emotions in cognition and evolution. Some of the theoretical predictions have been experimentally confirmed. This research won national and international awards. In addition to summarizing existing results the paper describes new development theoretical and experimental. The paper discusses unsolved theoretical problems as well as experimental challenges for future research.
    Language English
    Publishing date 2016-11-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2453005-0
    ISSN 1662-5137
    ISSN 1662-5137
    DOI 10.3389/fnsys.2016.00084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI.

    Perlovsky, Leonid I

    IEEE transactions on neural networks

    2010  Volume 21, Issue 5, Page(s) 718–733

    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 ...

    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 term(s) Brain/blood supply ; Brain/physiology ; Brain Mapping ; Emotions/physiology ; Fuzzy Logic ; Humans ; Magnetic Resonance Imaging ; Mental Processes/physiology ; Neural Networks (Computer) ; Nonlinear Dynamics ; Perception/physiology ; Psychological Theory
    Language English
    Publishing date 2010-05
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1021767-8
    ISSN 1941-0093 ; 1045-9227
    ISSN (online) 1941-0093
    ISSN 1045-9227
    DOI 10.1109/TNN.2010.2041250
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2906: Show issues Location:
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  5. Article ; Online: "Vague-to-crisp" neural mechanism of perception.

    Perlovsky, Leonid I

    IEEE transactions on neural networks

    2009  Volume 20, Issue 8, Page(s) 1363–1367

    Abstract: This brief describes neural modeling fields (NMFs) for object perception, a bio-inspired paradigm. We discuss previous difficulties in object perception algorithms encountered since the 1950s, and describe how NMF overcomes these difficulties. NMF ... ...

    Abstract This brief describes neural modeling fields (NMFs) for object perception, a bio-inspired paradigm. We discuss previous difficulties in object perception algorithms encountered since the 1950s, and describe how NMF overcomes these difficulties. NMF mechanisms are compared to recent experimental neuroimaging observations, which have demonstrated that initial top-down signals are vague and during perception they evolve into crisp representations matching the bottom-up signals from observed objects. Neural and mathematical mechanisms are described and future research directions outlined.
    MeSH term(s) Algorithms ; Humans ; Neural Networks (Computer) ; Pattern Recognition, Automated/methods ; Perception/physiology ; Visual Perception/physiology
    Language English
    Publishing date 2009-08
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1021767-8
    ISSN 1941-0093 ; 1045-9227
    ISSN (online) 1941-0093
    ISSN 1045-9227
    DOI 10.1109/TNN.2009.2025501
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Mirror neurons, language, and embodied cognition.

    Perlovsky, Leonid I / Ilin, Roman

    Neural networks : the official journal of the International Neural Network Society

    2013  Volume 41, Page(s) 15–22

    Abstract: Basic mechanisms of the mind, cognition, language, its semantic and emotional mechanisms are modeled using dynamic logic (DL). This cognitively and mathematically motivated model leads to a dual-model hypothesis of language and cognition. The paper ... ...

    Abstract Basic mechanisms of the mind, cognition, language, its semantic and emotional mechanisms are modeled using dynamic logic (DL). This cognitively and mathematically motivated model leads to a dual-model hypothesis of language and cognition. The paper emphasizes that abstract cognition cannot evolve without language. The developed model is consistent with a joint emergence of language and cognition from a mirror neuron system. The dual language-cognition model leads to the dual mental hierarchy. The nature of cognition embodiment in the hierarchy is analyzed. Future theoretical and experimental research is discussed.
    MeSH term(s) Animals ; Association Learning ; Cognition/physiology ; Emotions/physiology ; Humans ; Language ; Logic ; Mirror Neurons/physiology ; Models, Neurological ; Neural Networks (Computer) ; Semantics
    Language English
    Publishing date 2013-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2013.01.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: SCIENCE AND RELIGION

    Perlovsky, Leonid I.

    Scientific Understanding and Mathematical Modeling of Emotions of the Spiritually Sublime

    2010  

    Abstract: Science strives for a detailed understanding of reality even if this differentiation threatens individual synthesis, or the wholeness of psyche. Religion strives to maintain the wholeness of psyche, even if at the expense of a detailed understanding of ... ...

    Abstract Science strives for a detailed understanding of reality even if this differentiation threatens individual synthesis, or the wholeness of psyche. Religion strives to maintain the wholeness of psyche, even if at the expense of a detailed understanding of the world and Self. This paper analyzes the cognitive forces driving us to achieve both. This analysis leads to understanding emotions of the religiously sublime, which are the foundations of all religions. These seemingly mysterious feelings, which everyone feels, even if rarely, even if without noticing them consciously, even if without being able to name them properly, today can be explained scientifically. And possibly, we may soon be able to measure them in a psychological laboratory. The article briefly reviews new developments in brain imaging that have made new data available, and reviews development and mathematical modeling in cognitive theory explaining these previously mysterious feelings. This new scientific analysis has overcome another long-standing challenge: reductionism. Although religious feelings can be scientifically discussed in terms of concrete neural mechanisms and mathematically modeled, but cannot be reduced to "just this or that" mechanical explanation.

    Comment: 18 pages
    Keywords Quantitative Biology - Neurons and Cognition
    Subject code 501
    Publishing date 2010-10-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Statistical limitations on molecular evolution.

    Perlovsky, Leonid I

    Journal of biomolecular structure & dynamics

    2002  Volume 19, Issue 6, Page(s) 1031–1043

    Abstract: Complexity of functions evolving in an evolution process are expected to be limited by the time length of an evolution process among other factors. This paper outlines a general method of deriving function-complexity limitations based on mathematical ... ...

    Abstract Complexity of functions evolving in an evolution process are expected to be limited by the time length of an evolution process among other factors. This paper outlines a general method of deriving function-complexity limitations based on mathematical statistics and independent from details of a biological or genetic mechanism of the evolution of the function. Limitations on the emergence of life are derived, these limitations indicate a possibility of a very fast evolution and are consistent with "RNA world" hypothesis. The discussed method is general and can be used to characterize evolution of more specific biological organism functions and relate functions to genetic structures. The derived general limitations indicate that a co-evolution of multiple functions and species could be a slow process, whereas an evolution of a specific function might proceed very fast, so that no trace of intermediate forms (species) is preserved in fossil records of phenotype or DNA structure; this is consistent with a picture of "punctuated equilibrium".
    MeSH term(s) Data Interpretation, Statistical ; Evolution, Molecular ; Models, Biological ; Origin of Life ; RNA
    Chemical Substances RNA (63231-63-0)
    Language English
    Publishing date 2002-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2002.10506806
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Maximum Likelihood Joint Tracking and Association in Strong Clutter

    Leonid I. Perlovsky / Ross W. Deming

    International Journal of Advanced Robotic Systems, Vol

    2013  Volume 10

    Abstract: We have developed a maximum likelihood formulation for a joint detection, tracking and association problem. An efficient non-combinatorial algorithm for this problem is developed in case of strong clutter for radar data. By using an iterative procedure ... ...

    Abstract We have developed a maximum likelihood formulation for a joint detection, tracking and association problem. An efficient non-combinatorial algorithm for this problem is developed in case of strong clutter for radar data. By using an iterative procedure of the dynamic logic process “from vague-to-crisp” explained in the paper, the new tracker overcomes the combinatorial complexity of tracking in highly-cluttered scenarios and results in an orders-of-magnitude improvement in signal-to-clutter ratio.
    Keywords Electronics ; TK7800-8360 ; Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2013-01-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: How language can help discrimination in the Neural Modelling Fields framework.

    Fontanari, José F / Perlovsky, Leonid I

    Neural networks : the official journal of the International Neural Network Society

    2008  Volume 21, Issue 2-3, Page(s) 250–256

    Abstract: The relationship between thought and language and, in particular, the issue of whether and how language influences thought is still a matter of fierce debate. Here we consider a discrimination task scenario to study language acquisition in which an agent ...

    Abstract The relationship between thought and language and, in particular, the issue of whether and how language influences thought is still a matter of fierce debate. Here we consider a discrimination task scenario to study language acquisition in which an agent receives linguistic input from an external teacher, in addition to sensory stimuli from the objects that exemplify the overlapping categories that make up the environment. Sensory and linguistic input signals are fused using the Neural Modelling Fields (NMF) categorization algorithm. We find that the agent with language is capable of differentiating object features that it could not distinguish without language. In this sense, the linguistic stimuli prompt the agent to redefine and refine the discrimination capacity of its sensory channels.
    MeSH term(s) Algorithms ; Computer Simulation ; Discrimination (Psychology) ; Humans ; Language ; Models, Neurological ; Speech Perception ; Time Factors ; Verbal Behavior/physiology
    Language English
    Publishing date 2008-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2007.12.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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