I’m investigating the theoretical proposal that time in the brain may not be strictly linear or metric, but instead emerges as a nonlinear thermodynamic field, one shaped by entropy gradients, negentropic action, and boundary condition reconfigurations across scales.

This concept appears in frameworks such as:

• The Dynamic Organicity Theory of Consciousness (Poznanski), where time irreversibility and diachronic boundary shifts play central roles
• Oscillatory Dynamics Transductive-Bridging Theorem (ODTBT), where phase transitions between oscillatory compression and expression produce non-metric temporal structure
• Thermodynamically-informed models (e.g., McClare, Nicholson, Brändas) that propose time–information uncertainty relations in far-from-equilibrium systems

My core question: Are there critiques, either empirical, conceptual, or computational, that challenge the plausibility or measurability of this view in cognitive neuroscience?

Specifically:

• Has the idea of nonlinear, thermodynamically-derived time been tested in EEG/fMRI temporal resolution, entropy production, or cognitive binding studies?
• Are there known theoretical limitations in aligning time irreversibility with functional or perceptual time in neural systems?
• How do such views contrast with or complement models based on predictive coding, integrated information theory, or clock-based neural representations?

I’d appreciate any empirical work, modeling challenges, or philosophical critiques addressing nonlinear time as a functional variable in consciousness or cognition.