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1.
PLoS One ; 15(4): e0228692, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32330134

RESUMEN

In 1972, Robert May showed that diversity is detrimental to an ecosystem since, as the number of species increases, the ecosystem is less stable. This is the so-called diversity-stability paradox, which has been derived by considering a mathematical model with linear interactions between the species. Despite being in contradiction with empirical evidence, the diversity-stability paradox has survived the test of time for over 40+ years. In this paper we first show that this paradox is a conclusion driven solely by the linearity of the model employed in its derivation which allows for the neglection of the fixed point solution in the stability analysis. The linear model leads to an ill-posed solution and along with it, its paradoxical stability predictions. We then consider a model ecosystem with nonlinear interactions between species, which leads to a stable ecosystem when the number of species is increased. The saturating non linear term in the species interaction is analogous to a Hill function appearing in systems like gene regulation, neurons, diffusion of information and ecosystems The exact fixed point solution of this model is based on k-core percolation and shows that the paradox disappears. This theoretical result, which is exact and non-perturbative, shows that diversity is beneficial to the ecosystem in agreement with analyzed experimental evidence.


Asunto(s)
Biodiversidad , Modelos Lineales , Dinámicas no Lineales , Dinámica Poblacional
2.
Neuroscience ; 411: 280-290, 2019 07 15.
Artículo en Inglés | MEDLINE | ID: mdl-31051216

RESUMEN

We study the transition in the functional networks that characterize the human brains' conscious-state to an unconscious subliminal state of perception by using k-core percolation. We find that the most inner core (i.e., the most connected kernel) of the conscious-state functional network corresponds to areas which remain functionally active when the brain transitions from the conscious-state to the subliminal-state. That is, the inner core of the conscious network coincides with the subliminal-state. Mathematical modeling allows to interpret the conscious to subliminal transition as driven by k-core percolation, through which the conscious state is lost by the inactivation of the peripheral k-shells of the conscious functional network. Thus, the inner core and most robust component of the conscious brain corresponds to the unconscious subliminal state. This finding imposes constraints to theoretical models of consciousness, in that the location of the core of the functional brain network is in the unconscious part of the brain rather than in the conscious state as previously thought.


Asunto(s)
Encéfalo/fisiología , Estado de Conciencia/fisiología , Modelos Neurológicos , Red Nerviosa/fisiología , Estimulación Subliminal , Encéfalo/diagnóstico por imagen , Mapeo Encefálico , Simulación por Computador , Humanos , Imagen por Resonancia Magnética , Red Nerviosa/diagnóstico por imagen
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