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14 papers · 1 filter
Robust random search with scale-free stochastic resetting
Łukasz Kuśmierz, Taro Toyoizumi
A new model of search based on stochastic resetting is introduced, wherein rate of resets depends explicitly on time elapsed since the beginning of the process. It is shown that ra…
On subdiffusive continuous time random walks with stochastic resetting
Łukasz Kuśmierz, Ewa Gudowska-Nowak
We analyze two models of subdiffusion with stochastic resetting. Each of them consists of two parts: subdiffusion based on the continuous-time random walk (CTRW) scheme and indepen…
Suppression of macroscopic oscillations in mixed populations of active and inactive oscillators coupled through lattice Laplacian
Ikuhiro Yamaguchi, Takuya Isomura, Hiroya Nakao +3
We consider suppression of macroscopic synchronized oscillations in mixed populations of active and inactive oscillators with local diffusive coupling, described by a lattice compl…
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard +3
Comparing probability distributions is a fundamental problem in data sciences. Simple norms and divergences such as the total variation and the relative entropy only compare densit…
Unified framework for the entropy production and the stochastic interaction based on information geometry
Sosuke Ito, Masafumi Oizumi, Shun-ichi Amari
We show a relationship between the entropy production in stochastic thermodynamics and the stochastic interaction in the information integrated theory. To clarify this relationship…
Extended temporal association memory by inhibitory Hebbian learning
Tatsuya Haga, Tomoki Fukai
Hebbian learning of excitatory synapses plays a central role in storing activity patterns in associative memory models. Furthermore, interstimulus Hebbian learning associates multi…