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Supercomplexity: bridging the gap between aesthetics and cognition.

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This study introduces a cognitive neuroscience framework for "supercomplex experiences," which involve multiple brain networks and cognitive functions. Expertise shapes neural plasticity, enabling sophisticated integration of sensory, emotional, and cognitive processes.

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Area of Science:

  • Cognitive Neuroscience
  • Network Neuroscience
  • Expertise Studies

Background:

  • Supercomplex experiences involve simultaneous engagement of multiple neural networks and cognitive faculties.
  • These experiences resist decomposition into simpler, isolated processes.
  • Understanding their neural underpinnings requires a framework integrating network dynamics and expertise-dependent plasticity.

Purpose of the Study:

  • To present a cognitive neuroscience framework for understanding supercomplex experiences.
  • To elucidate the neural mechanisms underlying expert performance in domains requiring complex integration.
  • To explain how coordinated activity across distributed brain systems generates these multifaceted experiences.

Main Methods:

  • Drawing on network neuroscience and cognitive psychology.
  • Examining expert performance in diverse domains (e.g., wine tasting, music, art).
  • Analyzing the roles of the salience network, default mode network, and central executive network.

Main Results:

  • Supercomplex experiences are characterized by simultaneous multi-network engagement, specialized architectures, conceptual frameworks, dynamic interactions, and gestalt properties.
  • Key mechanisms include predictive processing, expertise-dependent network reorganization, and dynamic network flexibility.
  • Interoceptive predictions and embodied simulations contribute to integrating bodily and external sensory information.

Conclusions:

  • The proposed framework offers a mechanistic account of how the brain generates rich, complex experiences.
  • Expertise development involves significant neural architecture modifications, from local circuits to large-scale networks.
  • This research has implications for understanding expertise, skill acquisition, and advanced cognitive-perceptual capabilities.