Criticality signatures in brain spiking activity vary systematically along the anatomical hierarchy in a measure-dependent manner, with task state modulating them and enabling hierarchy reconstruction from dynamics alone.
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A scalable deep-learning estimator for trajectory-level stochastic information flow is proposed and tested on solvable models, oscillators, and motile cell trajectories.
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Hierarchical organization of critical brain dynamics
Criticality signatures in brain spiking activity vary systematically along the anatomical hierarchy in a measure-dependent manner, with task state modulating them and enabling hierarchy reconstruction from dynamics alone.
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Quantifying information flow along a stochastic trajectory
A scalable deep-learning estimator for trajectory-level stochastic information flow is proposed and tested on solvable models, oscillators, and motile cell trajectories.