Energy-aware RL with a spiking Q-network in a brain circuit model cuts alpha-beta oscillations 45% and stimulation charge 80% vs continuous DBS, then deploys at 0.52 mW on neuromorphic hardware.
Available: https://physoc.onlinelibrary.wiley.com/doi/ abs/10.1113/jphysiol.1952.sp004764
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Information defined as maximum-caliber deviation derives IIT 3.0 cause-effect repertoires from constrained entropy maximization and equates to prediction error under CLT and LDT.
A windowed active set algorithm solves large-scale Lasso for convolutional spike sorting with linear complexity in temporal dimension and parallel efficiency.
Further discussion of hyperstatistics foundations with applications to Brownian motion velocity correlations and brain dynamics.
Phenomenological modeling with observables for ion currents, temperature effects, and inductance provides a hybrid framework that brings mathematical descriptions of action potential propagation in axons closer to biological reality.
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Information as Maximum-Caliber Deviation: A bridge between Integrated Information Theory and the Free Energy Principle
Information defined as maximum-caliber deviation derives IIT 3.0 cause-effect repertoires from constrained entropy maximization and equates to prediction error under CLT and LDT.