Exploring the analytical consequences of ecological subjects unwittingly neglected by the mainstream of evolutionary thought

Rodríguez, Ricardo A.; Duncan, Janelle M.; Vanni, Michael J.; Melkikh, Alexey V.; Delgado, Juan D.; Riera, Rodrigo; Herrera, Ada M.; Camarena, Tomás; Quirós, Ángel; Fernández‐Palacios, José María; Miranda, Jezahel V.; Perdomo, María Elena; Fernández-Rodríguez, M. J.; Jiménez‐Rodríguez, Antonia; Otto, Rüdiger; Escudero, Carlos G.; Navarro-Cerrillo, Rafael M.; González, María J.

doi:10.1016/j.ecolmodel.2017.03.029

Cited by 5 publications

(1 citation statement)

References 69 publications

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“…When we consider the influence of ecological changes in the coevolutionary process, the present manifestations of ergodicity within stationary states along the evolutionary trajectory seem to obscure a dynamic internal structure of fluctuations. This concealed complexity is primed to unleash the next major advancement or catastrophe, intertwined with a cascade of interdependent factors (e.g., [ 94 ]). As a result, contemporary theories of evolutionary optimization strive to acknowledge the necessity of multiple potential wells with intricately patterned boundaries.…”

Section: Introductionmentioning

confidence: 99%

Temporal organization of stride-to-stride variations contradicts predictive models for sensorimotor control of footfalls during walking

Mangalam,

Kelty-Stephen,

Sommerfeld

et al. 2023

PLoS ONE

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Walking exhibits stride-to-stride variations. Given ongoing perturbations, these variations critically support continuous adaptations between the goal-directed organism and its surroundings. Here, we report that stride-to-stride variations during self-paced overground walking show cascade-like intermittency—stride intervals become uneven because stride intervals of different sizes interact and do not simply balance each other. Moreover, even when synchronizing footfalls with visual cues with variable timing of presentation, asynchrony in the timings of the cue and footfall shows cascade-like intermittency. This evidence conflicts with theories about the sensorimotor control of walking, according to which internal predictive models correct asynchrony in the timings of the cue and footfall from one stride to the next on crossing thresholds leading to the risk of falling. Hence, models of the sensorimotor control of walking must account for stride-to-stride variations beyond the constraints of threshold-dependent predictive internal models.

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Section: Introductionmentioning

confidence: 99%