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http://dx.doi.org/10.1016/j.biosystems.2023.105008 | DOI Listing |
Psychopathology
November 2024
Department of Health Sciences, University of Florence, Florence, Italy.
Background: The question of the role of personal values in the constitution of and recovery from mental illness is a divisive subject discussed in contemporary psychopathology. This article critically examines the psychopathological theories and contributions of Antoni Kępiński - a seminal yet internationally under-recognized Polish psychiatrist.
Summary: Drawing upon a multilayered framework incorporating biological, affective-emotional, and sociocultural dimensions, Kępiński posited mental disorders as disturbances in the energy and information metabolism with the environment leading to an increase in entropy.
Int J Mol Sci
September 2023
Prototyping Unit, Edge-Institute, ER-System Mechatronics, A-5440 Golling, Austria.
"Quantum biology" (QB) is a promising theoretical approach addressing questions about how living systems are able to unfold dynamics that cannot be solved on a chemical basis or seem to violate some fundamental laws (e.g., thermodynamic yield, morphogenesis, adaptation, autopoiesis, memory, teleology, biosemiotics).
View Article and Find Full Text PDFEntropy (Basel)
August 2023
Department of Culture and Language, University of Southern Denmark, 4200 Slagelse, Denmark.
Resilience is a basic trait of cognitive systems and fundamentally connected to their autopoietic organization. It plays a vital role in maintaining the identity of cognitive systems in the face of external threats and perturbances. However, when examining resilience in the context of autopoiesis, an overlooked issue arises: the autopoietic theory formulated by Maturana and Varela (1980) renders traditional Shannon information obsolete, highlighting that information should not be ascribed a role in cognitive systems in a general sense.
View Article and Find Full Text PDFBiosystems
October 2023
Cross Labs, The University of Tokyo, Tokyo Institute of Technology, Tokyo, Japan. Electronic address:
Biosystems
October 2023
The University of Tokyo, Japan; Alternative Machine Inc, Japan.
The concept of Learning by Stimulus Avoidance (LSA) has been proposed in recent literature, and the methods of avoiding stimuli: action, prediction, and separation appear to align well with the formation of Bertschinger's informational closure. In this study, we provide experimental evidence demonstrating that spiking neural networks, which avoid stimuli, can indeed facilitate the emergence of informational closure. The established link between LSA and informational closure lays the foundation for further exploration of autopoietic relationships and the self-organization of closure within neural networks.
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