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Metastable Oscillatory Modes as a Signature of Entropy Management in the Brain
Marta Xavier1,2, Patrícia Figueiredo1, Gustavo Deco2,3
1Institute for Systems and Robotics (ISR-Lisboa) and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal.
Entropy (Basel, Switzerland)
|January 8, 2025
Summary
Brain rhythms may manage entropy by shifting activity between order and disorder. This study links Metastable Oscillatory Modes (MOMs) to temporary entropy reductions, supporting the Free Energy Principle (FEP).
Area of Science:
- Computational Neuroscience
- Theoretical Physics
- Systems Biology
Background:
- The Free Energy Principle (FEP) posits that biological systems manage entropy to maintain their structure and function.
- Metastable synchronization describes systems that fluctuate between ordered and disordered states, potentially enabling entropy changes.
- Collective oscillations observed in the brain are theorized to arise from such synchronization, but a direct link to entropy fluctuations has been missing.
Purpose of the Study:
- To investigate the direct relationship between the emergence of collective oscillations and entropy fluctuations in dynamical systems.
- To provide empirical evidence linking Metastable Oscillatory Modes (MOMs) to entropy reduction within the FEP framework.
- To bridge the gap between physics-based oscillator models and neurobiological theories of brain function.
Main Methods:
- Analysis of coupled oscillator systems exhibiting spontaneous collective oscillations.
- Application of Shannon entropy to quantify temporal entropy changes within the system.
- Utilizing sliding time windows to analyze the distribution of eigenvalues of phase covariance.
- Identifying and characterizing Metastable Oscillatory Modes (MOMs) in the system dynamics.
Main Results:
- The emergence of Metastable Oscillatory Modes (MOMs) was directly associated with a temporary decrease in system entropy.
- Shannon entropy analysis revealed significant entropy fluctuations correlated with the formation of MOMs.
- The findings demonstrate that collective oscillations impact the system's entropy levels.
Conclusions:
- Metastable Oscillatory Modes (MOMs) are a mechanism by which systems can achieve temporary entropy reduction.
- Brain rhythms, as observed experimentally, may serve as a signature of the brain's entropy management processes, as predicted by the FEP.
- This work supports the hypothesis that dynamic transitions in neural activity are crucial for maintaining homeostasis within the FEP framework.
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