Miguel Aguilera
Papers
4
Total Citations
52
H-Index
3
About
Miguel Aguilera is a computational neuroscientist and cognitive scientist whose research sits at the intersection of embodied cognition, dynamical systems theory, and neurorobotics. His work has made significant contributions to understanding how the brain's oscillatory and organizational dynamics are fundamentally shaped by the body's continuous sensorimotor engagement with its environment — a perspective that challenges traditional brain-centric models of cognition. Aguilera's most influential contribution, "The situated HKB model" (2013, 31 citations), demonstrated that closing the sensorimotor loop between an agent and its environment can qualitatively alter neural oscillation patterns in ways that isolated brain models fail to predict. Building on this, his explorations of self-organized criticality and neural metastability reveal how brain-body-environment coupling may give rise to the complex, scale-free dynamics observed in cognition. His 2016 work on extended neural metastability further argues that embodiment is not peripheral but essential to understanding how neural assemblies synchronize and adapt. More recently, Aguilera has extended these ideas toward social cognition, exploring how habits and social coordination emerge through evolutionary robotics frameworks. Across his career, his research offers a rigorously dynamic, organism-centered vision of mind that continues to push cognitive science beyond the boundaries of the skull.
Research Focus
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Top Papers
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