In this paper we provide a way to distinguish features of renal blood flow autoregulation mechanisms in normotensive
and hypertensive rats based on the discrete wavelet transform. Using the variability of the wavelet
coefficients we show distinctions that occur between the normal and pathological states. A reduction of this
variability in hypertension is observed on the microscopic level of the blood flow in efferent arteriole of single
nephrons. This reduction is probably associated with higher flexibility of healthy cardiovascular system.
We describe how phase-modulation laser interference microscopy and wavelet analysis can be applied to noninvasive nonstained visualization and study of the structural and dynamical properties of living cells. We show how phase images of erythrocytes can reveal the difference between various erythrocyte forms and stages of hemolysis and how phase images of neurons reveal their complex intracellular structure. Temporal variations of the refractive index are analyzed to detect cellular rhythmic activity on different time scales as well as to uncover interactions between the cellular processes.
This paper studies the deterministic and stochastic dynamics of a biological burster model. Special emphasis is paid to the transition zones between the main spiking patterns. In these zones, noise can induce or suppress spike generation. We explain this in terms of bifurcation phenomena in the underlying deterministic model. We also show how coupled bursters can interact to provide in-phase and
out-of-phase synchronous regimes with varying noise intensity.