82 citations · 115 across the 10 of their papers we have counts for
10 papers
Explainable artificial intelligence model predicting the risk of all-cause mortality in patients with type 2 diabetes mellitus
Olga Vershinina, Jacopo Sabbatinelli, Anna Rita Bonfigli +7
Objective. Type 2 diabetes mellitus (T2DM) is a highly prevalent non-communicable chronic disease that substantially reduces life expectancy. Accurate estimation of all-cause morta…
Comparative statistical study of two local clustering coefficient formulations as tropical cyclone markers for climate networks
Mikhail Krivonosov, Olga Vershinina, Anna Pirova +3
We introduce a new formulation of local clustering coefficient for weighted correlation networks. This new formulation is based upon a definition introduced previously in the neuro…
Situation-based memory in spiking neuron-astrocyte network
Susanna Gordleeva, Yuliya A. Tsybina, Mikhail I. Krivonosov +4
Mammalian brains operate in a very special surrounding: to survive they have to react quickly and effectively to the pool of stimuli patterns previously recognized as danger. Many…
Game-driven random walks: Survival time statistics
M. I. Krivonosov, S. N. Tikhomirov, S. Denisov
Random walks are powerful tools to analyze spatial-temporal patterns produced by living organisms ranging from cells to humans. At the same time, it is evident that these patterns…
Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network
Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov +4
Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. Here we propose a mathematical model of spiking…
Local clustering coefficient based on three-way partial correlations in climate networks as a new marker of tropical cyclone
Mikhail Krivonosov, Olga Vershinina, Anna Pirova +3
We introduce a new network marker for climate network analysis. It is based upon an available special definition of local clustering coefficient for weighted correlation networks,…
Formation of working memory in a spiking neuron network accompanied by astrocytes
Susanna Yu. Gordleeva, Yulia A. Tsybina, Mikhail I. Krivonosov +4
We propose a biologically plausible computational model of working memory (WM) implemented by the spiking neuron network (SNN) interacting with a network of astrocytes. SNN is mode…
Chemotactic drift speed for bacterial motility pattern with two alternating turning events
E. V. Pankratova, A. I. Kalyakulina, M. I. Krivonosov +3
Bacterial chemotaxis is one of the most extensively studied adaptive responses in cells. Many bacteria are able to bias their apparently random motion to produce a drift in the dir…
Genetic noise mechanism for power-law switching in bacterial flagellar motors
M. I. Krivonosov, V. Zaburdaev, S. V. Denisov +1
Switching of the direction of flagella rotations is the key control mechanism governing the chemotactic activity of E. coli and many other bacteria. Power-law distributions of swit…
Lévy robotics
M. Krivonosov, S. Denisov, V. Zaburdaev
Two the most common tasks for autonomous mobile robots is to explore the environment and locate a target. %In the last case, the objective is either to find a target in the shortes…