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Volume : XI, Issue : XII, January - 2022

MACHINE LEARNING–DRIVEN ANALYSIS OF ENERGETIC FIELD DYNAMICS IN ELECTROPHYSIOLOGICAL SYSTEMS

Hanamanth Patil S/O Sangappa, Dr. Milind Singh

By : Laxmi Book Publication

Abstract :

Understanding the intricate interplay between energy metabolism and electrical signaling in excitable tissues remains a central challenge in computational biology.

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Cite This Article :

Hanamanth Patil S/O Sangappa, Dr. Milind Singh(2022). MACHINE LEARNING–DRIVEN ANALYSIS OF ENERGETIC FIELD DYNAMICS IN ELECTROPHYSIOLOGICAL SYSTEMS. Indian Streams Research Journal, Vol. XI, Issue. XII, http://isrj.org/UploadedData/11668.pdf

References :

  1. Hodgkin, A. L., & Huxley, A. F. (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve
  2. Luo, C. H., & Rudy, Y. (1991). A model of the ventricular cardiac action potential.

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