Comparative nonlinear modeling of renal autoregulation in rats: Volterra approach versus...

Assesses the use of feedforward artificial neural networks (FANN) to model the nonlinear dynamics of the renal autoregulatory mechanisms in rats and compares their performance in terms of model prediction with the Volterra models. Details on the existence of nonlinear interactions between the myogenic and tubuloglomerular feedback (TGF) mechanism which regulate renal blood flow in response to an increase in blood pressure; Findings of studies conducted.