Electrophysiological analysis demonstrates non-equilibrium thermodynamics and strange attractor dynamics in human brain organoids, highlighting critical state transitions.
The dynamics of biological neural networks inherently operate far from thermodynamic equilibrium. This paper rejects cognitive metaphors, strictly framing human brain organoids as physical substrates undergoing continuous non-equilibrium thermodynamic and nonlinear dynamical processes. Utilizing a continuous electrophysiological dataset comprising 33,247,914 multi-unit spikes across a 252 GB uncompressed recording, this research computes macroscopic physical invariants. Findings confirm broken time-reversal symmetry with a positive entropy production rate, topological state-space divergence bounded by a strange attractor, and macro-scale network dynamics converging closely on mean-field directed percolation criticality.
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Anikesh tiwari Anikesh Tiwari (2026) studied this question.
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