Is the tendency to maximise energy distribution an optimal collective activity for biological purposes? A proposal for a global principle of biological organization

Velázquez, José Luis Pérez; Mateos, Diego M.; Guevara, Ramón

doi:10.1016/j.heliyon.2023.e15005

Cited by 3 publications

(1 citation statement)

References 83 publications

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“…The global underlying idea is that the number of functional network configurations represents a simple measure of the computational flexibility of a nervous system. We will bring to the fore commonalities among several of the main existing theories and, along the lines of a global principle of the organization of neural dynamics (Perez Perez Velazquez, Mateos, & Guevara Erra, 2023), we will explore how these different aspects of the theories fit into the one we propose, backed up by experimental observations. For this purpose, we will examine how neuronal cellular collective activity organizes to fulfill the dynamic requirements of the diverse consciousness theories that are encompassed by our own.…”

Section: Introduction -A Flood Of Theories and The Need For Unificationmentioning

confidence: 97%

Unifying consciousness theories with MaxCon: maximizing configurations of the brain web

Velazquez,

Mateos,

Wennberg

et al. 2023

Preprint

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There is such a vast proliferation of theories and conceptual frameworks of consciousness and cognition that it is worrying some scholars. There are even competitions to test different theories, and the results are inconclusive. Consciousness research, far from converging toward a unifying framework, is becoming more discordant than ever. We do not need more theories but rather integration across theories to facilitate a comprehensive view on consciousness andcognition and on how normal nervous system dynamics can develop into pathological states. In dealing with what is considered an extremely complex matter, we try to adopt a perspective from which the subject appears in relative simplicity. Grounded in experimental and theoretical observations, we advance an encompassing theory, MaxCon, which incorporates aspects of several main existing theories, finding convergence points in an attempt to simplify and to understand how cellular collective activity is organized to fulfill the dynamic requirements of the diverse theories our proposal comprises. In essence, our proposal derived from the level of description of the interactions among cell networks highlights the tendency to maximise the number of configurations of neural network connections ―constrained by neuroanatomy, biophysical features and the environment― for conscious awareness and proper sensorimotor transformations.

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Section: Introduction -A Flood Of Theories and The Need For Unificationmentioning

confidence: 97%

Unifying consciousness theories with MaxCon: maximizing configurations of the brain web

Velazquez,

Mateos,

Wennberg

et al. 2023

Preprint

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Higher-Order Interaction Analysis via Hypergraph Models for Studying Multidimensional Neuroscience Data

Bilbao,

Aimar,

Torterolo

et al. 2024

Preprint

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Higher-Order Interaction (HOI) theory offers a powerful framework for capturing complex, non-linear relationships within multidimensional systems, moving beyond traditional pairwise graph methods to encompass multi-way interactions. This study applies HOI analysis, specifically using hypergraph theory, to explore intricate connectivity patterns in electrophysiological signals from neuroscience. Hypergraphs were constructed from connectivity data across various frequency bands, characterized through metrics such as spectral entropy, hyperedge centrality, and vertex centrality, and compared using spectral and centrality distance measures. Three distinct neurophysiological datasets were analyzed: intracranial EEG signals from rats during different sleep stages, scalp EEG data to distinguish between epilepsy types, and MEG recordings of seizure dynamics. The findings highlight the effectiveness of hypergraph-based HOI analysis in mapping neural dynamics across normal and pathological brain states. In sleep studies, it reveals distinct connectivity patterns between REM and NREM stages, while in epilepsy, it differentiates seizure types and stages, identifying spectral entropy as a potential marker for seizure onset. Notably, HOI analysis captures differences between primary and secondary generalized epilepsy, suggesting enhanced diagnostic accuracy. This approach provides a powerful tool for understanding complex neural interactions in high-dimensional data.

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Unifying biophysical consciousness theories with MaxCon: maximizing configurations of brain connectivity

Perez Velazquez,

Mateos,

Guevara

et al. 2024

Front. Syst. Neurosci.

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There is such a vast proliferation of scientific theories of consciousness that it is worrying some scholars. There are even competitions to test different theories, and the results are inconclusive. Consciousness research, far from converging toward a unifying framework, is becoming more discordant than ever, especially with respect to theoretical elements that do not have a clear neurobiological basis. Rather than dueling theories, an integration across theories is needed to facilitate a comprehensive view on consciousness and on how normal nervous system dynamics can develop into pathological states. In dealing with what is considered an extremely complex matter, we try to adopt a perspective from which the subject appears in relative simplicity. Grounded in experimental and theoretical observations, we advance an encompassing biophysical theory, MaxCon, which incorporates aspects of several of the main existing neuroscientific consciousness theories, finding convergence points in an attempt to simplify and to understand how cellular collective activity is organized to fulfill the dynamic requirements of the diverse theories our proposal comprises. Moreover, a computable index indicating consciousness level is presented. Derived from the level of description of the interactions among cell networks, our proposal highlights the association of consciousness with maximization of the number of configurations of neural network connections ―constrained by neuroanatomy, biophysics and the environment― that is common to all consciousness theories.

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Is the tendency to maximise energy distribution an optimal collective activity for biological purposes? A proposal for a global principle of biological organization

Cited by 3 publications

References 83 publications

Unifying consciousness theories with MaxCon: maximizing configurations of the brain web

Unifying consciousness theories with MaxCon: maximizing configurations of the brain web

Higher-Order Interaction Analysis via Hypergraph Models for Studying Multidimensional Neuroscience Data

Unifying biophysical consciousness theories with MaxCon: maximizing configurations of brain connectivity

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