This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Recessions are not predictable with precision. But they are priceable, and at 40% to 50% probability, the risk deserves ...

Stop letting AI pick your passwords. They follow predictable patterns instead of being truly random, making them easy for ...

Artificial intelligence is poised to reshape white-collar and clerical work - the backbone of insurance operations ...

First formulated in the late 19th century by Austrian physicist and mathematician Ludwig Boltzmann, this principle remains ...

The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...

Reliable earthquake recurrence probability assessment is crucial for seismic hazard mitigation but remains challenging due to sparse paleoseismic data on individual faults. We present an enhanced ...

The Wald distribution (also known as the inverse Gaussian distribution) is a positively skewed unimodal distribution commonly used to model response time data (Anders, Alario, & Van Maanen, 2016; ...

Abstract: This paper investigates the probability density functions (PDFs) of the voltage deviations at the nodes of a low-voltage grid. The PDFs are obtained using a Monte Carlo simulation algorithm ...

Analytical functions which fit the probability distributions of stars and galaxies can provide insight into how these distributions originate. In order to introduce a truncated version of the Gompertz ...