We consider properties of one-dimensional diffusive dichotomous flow and discuss effects stochastic resonant activation (SRA) in the presence a statistically independent random resetting mechanism. Resonant are two similar effects, as both them can optimize noise-induced escape. Our studies show completely different origins optimization adapted setups. Efficiency relies on elimination suboptima...

Different striatal projection neurons are the origin of a dual organization essential for basal ganglia function. We have defined an analogous division of labor in the external globus pallidus (GPe) of Parkinsonian rats, showing that the distinct temporal activities of two populations of GPe neuron in vivo are underpinned by distinct molecular profiles and axonal connectivities. A first populat...

Molecular noise in gene regulatory networks has two intrinsic components, one part being due to fluctuations caused by the birth and death of protein or mRNA molecules which are often present in small numbers and the other part arising from gene state switching, a single molecule event. Stochastic dynamics of gene regulatory circuits appears to be largely responsible for bifurcations into a set...

A novel graph-based model for aggregating dichotomous preferences is introduced. The output opinion is viewed as a consensual situation, paving the way of using graph operations to describe properties of the aggregators. The outputs are also dichotomous preferences which could be useful in some applications. New axiomatic characterizations of aggregators corresponding to usual majority or appro...

Deprivation scales derived from multiple, typically dichotomous, indicators, are increasingly being used to measure households’ standards of living, and to complement poverty measures based on low income. We propose a type of multivariate probit model that generalizes the classical measurement model underlying the deprivation scale approach, allowing for heterogeneity and explicitly recognizing...

This paper reports on the development of a learning system for the prediction of dichotomous response variables by combining fuzzy concept with classical regression technique. The algorithm involves linear transformation followed by linear programming. In the algorithm presented it was assumed that the logarithm of the odds (logit) is linearly related to X’s, the independent variables after und...

In this paper we will deal with the determination of the inverse of a dichotomous probability distribution. In particular it will be shown that a dichotomous distribution admit inverse if and only if it corresponds to a random variable assuming values (0, a), a ∈ R+. Moreover we will provide two general results about the behaviour of the inverse distribution relative to the power and to a linea...