This invention provides a method,
system, electronic device, and storage medium for analyzing the
energy consumption of neural networks based on
ion channel regulation. It constructs a neural network dynamics model containing excitatory and inhibitory neurons. The neuronal
membrane potential dynamics equation is defined by a set of differential equations for various
voltage-gated
ion currents (fast
sodium ion current, continuous
sodium ion current, slow
potassium ion current, etc.) and leakage current. By adjusting the unit area
conductivity parameter and / or inactivation
time constant parameter of the
voltage-gated ion channels in the model, the external
intervention effect is simulated. After obtaining
membrane potential sequence data through
simulation, the
total energy consumption, synaptic
energy consumption ratio, average
discharge rate, and average synchronization rate between neurons of the model are calculated. Finally, a quantitative correlation model between parameter changes and the above indicators is established, clarifying the
coupling effect of the target
ion channel dynamics characteristics on the neural network
discharge behavior pattern and
energy metabolism.