http://popups.lib.uliege.be/1373-5411/index.php?id=4007 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=4390 The aim of this paper is to formulate non-formal more-equal-less (M-E-L) logic of the neural networks analysis and synthesis of the multidimensional signals for anticipatory control in living and organized systems. The signals analysis and synthesis structures are necessary for anticipation procedures in the more complex systems decision making. The possibilities of neural nets composed of neurons as the algebraic dot productors of continuously varied impulse frequencies characterized by diode non-linearity {N}, when informational operations of fuzzy logic are performed is analyzed. According to the facts of neurobiological research the neurons are divided into satellite and pyramidal ones, and their functional-static characteristics are presented. The operations performed by satellite neurons are characterized as qualitative (not quantitative) informational estimations "more", "less", "equal", i.e., they function according to more-equal-less (M-E-L) logic. Pyramidal neurons with suppressing entries perform algebraic signal operations and as a result of them the output signals are controlled by means of universal logical function "NON disjunction" (Pierce arrow or Dagger function). It is demonstrated how satellite and pyramidal neurons can be used to synthesize the neural nets functioning in parallel and realizing all logical and elementary algebraic functions as well as to perform the conditional controlled operations of information processing. Such neural nets functioning by principles of M-E-L and suppression logic can perform signals' classification, filtration and other informational procedures by non-quantitative assessment, and their informational possibilities (the amount of qualitative states), depending on the number n of analyzing elements-neurons, are proportional to n! Or even to 2n· n!, i.e., much bigger than the possibilities of traditional informational automats functioning by binary principle. Such neurostructures of analysis by synthesis carries signal-information procedures on the principal-factor components analysis methods. Thu, 10 Oct 2024 10:12:59 +0200 Thu, 10 Oct 2024 10:13:21 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=4390 http://popups.lib.uliege.be/1373-5411/index.php?id=3379 The aim of this paper is to show that informational control in bio-systems is possible only through the use of closed-loop coding-decoding (CL-CD) and that CL-CD is a common feature of all organized systems that induces the birth of semantics. The analysis of the nervous systems research data shows that the coding and decoding procedure uses nota binary logic, but specific logic based on the "more-equal-less" (M-E-L) principle. It is likely that similar coding principle is used in molecular signaling structures (cells and hormonal subsystems of organisms) and that the implementation of this is a kind of nanoinfotechnology. Non-categorical M-E-L logic is similar to fuzzy (Zadeh) logic and may be used for explanation of neurobiological and neuropsychological facts through systemic (holistic) functional organization of the nervous system and of new neuroinformational and nanoinfotechnological ideas. Mon, 16 Sep 2024 11:47:56 +0200 Mon, 07 Oct 2024 12:45:09 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3379