Physics of the Propagating Action Potential
Nikola K. Jurisic, Fred Cooper

TL;DR
This paper develops a new phase space cable equation for action potentials, confirming experimental data, and introduces a novel ionic channel model incorporating quantum tunnelling and phase transitions, with implications for memory mechanisms.
Contribution
It presents a charge conserving phase space cable equation and a modified Avrami model for ion channel kinetics, integrating quantum effects and predicting phase transitions in sodium channels.
Findings
Ionic current crossing zero twice as a function of propagation constant.
Outward sodium current during recovery phase from axoplasmic effects.
Predicted phase transitions in sodium channels suggest mechanisms for memory encoding.
Abstract
We derive a charge conserving phase space cable equation for the propagating action potential, expressing ionic, capacitive and axoplasmic currents as functions of membrane potential. The new equation prediction of ionic current crossing the zero current axis twice as function of the propagation constant is confirmed by the Rosenthal-Bezanilla experimental data. Analysis of the ionic current during the recovery phase reveals an outward sodium current, unobserved in voltage clamp experiments, arising from the axoplasmic modulated Ohmic current creating a positive charge gradient opposing the sodium concentration gradient. Using a single assumption, that the fraction of open channels follows a time-dependent modified Avrami (mAvrami) equation that incorporates the ionic time rate yielding the fine structure constant as a dimensionless scaling factor, we fit experimental ionic currents…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLipid Membrane Structure and Behavior · Neuroscience and Neural Engineering · Cephalopods and Marine Biology
