ISHEA Bio: a bioenergetic-informational model of neuronal ionic signaling

ISHEA Bio: Bioenergetic-Informational Model of Ionic Signaling in Neurons
Overview
ISHEA Bio is a computational, in silico model that integrates neuronal ionic dynamics with bioenergetics. It formalizes the roles of sodium (Na⁺) and potassium (K⁺) as energy substrates and calcium (Ca²⁺) as the primary informational mediator via CaMKII activation. The model allows researchers to explore how energy availability conditions functional neuronal signaling and vulnerability to excitotoxicity.
Contents
Simulation Protocols: Physiological and stress scenarios.
Results: Single neuron and small network simulations, parametric sensitivity analysis.
Replicability Annex: Variables, units, equations, and step-by-step Python implementation.
Figures: Graphs illustrating Ca²⁺ vs. CaMKII* dynamics, ATP/NADH levels, and network propagation of stress.
Key Features
Fully reproducible with public data and standard Python libraries (numpy, matplotlib).
Demonstrates how bioenergetic state modulates information encoding.
Highlights propagatable excitotoxicity phenomena relevant for neurodegeneration studies.
Suitable for educational, research, and preprint dissemination.
Keywords: Neuronal signaling, Calcium dynamics, Bioenergetics, CaMKII, ISHEA, Excitotoxicity, In silico modeling, Reproducible science