76 citations · 155 across the 7 of their papers we have counts for
7 papers
Conditioned backward and forward times of diffusion with stochastic resetting: a renewal theory approach
Axel Masó-Puigdellosas, Daniel Campos, Vicenç Méndez
Stochastic resetting can be naturally understood as a renewal process governing the evolution of an underlying stochastic process. In this work, we formally derive well-known resul…
Non-standard diffusion under Markovian resetting in bounded domains
Vicenç Méndez, Axel Masó-Puigdellosas, Daniel Campos
We consider a walker moving in a one-dimensional interval with absorbing boundaries under the effect of Markovian resettings to the initial position. The walker's motion follows a…
Informational entropy thresholds as a physical mechanism to explain power-law time distributions in sequential decision-making
Javier Cristín, Vicenç Méndez, Daniel Campos
While frameworks based on physical grounds (like the Drift-Diffusion Model) have been exhaustively used in psychology and neuroscience to describe perceptual decision-making in hum…
Optimal management of impaired self-avoiding random walks for minimizing spatial coverage
Daniel Campos, Javier Cristín, Vicenç Méndez
Self-avoidance is a common mechanism to improve the efficiency of a random walker for covering a spatial domain. However, how this efficiency decreases when self-avoidance is impai…
Transport properties of random walks under stochastic non-instantaneous resetting
Axel Masó-Puigdellosas, Daniel Campos, Vicenç Méndez
Random walks with stochastic resetting provides a treatable framework to study interesting features about central-place motion. In this work, we introduce non-instantaneous resetti…
Stochastic processes subject to a reset-and-residence mechanism: transport properties and first arrival statistics
Axel Masó-Puigdellosas, Daniel Campos, Vicenç Méndez
In this work we consider a stochastic movement process with random resets to the origin followed by a random residence time there before the walker restarts its motion. First, we s…