activity
20212025
most citedRobust universal approach to identify travelling chimeras and synchronized clusters in spiking networks

13 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2025

Metric Framework of Coherent Activity Patterns Identification in Spiking Neuronal Networks

Daniil Radushev, Olesia Dogonasheva, Boris Gutkin +1

Partial synchronization plays a crucial role in the functioning of neuronal networks: selective, coordinated activation of neurons enables information processing that flexibly adap…

q-bio.NC2025★ 1 cited

Neuro-oscillatory models of cortical speech processing

Olesia Dogonasheva, Denis Zakharov, Anne-Lise Giraud +1

In this review, we examine computational models that explore the role of neural oscillations in speech perception, spanning from early auditory processing to higher cognitive stage…

nlin.AO2023★ 1 cited

Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks

Olesia Dogonasheva, Daniil Radushev, Boris Gutkin +1

Methods that distinguish dynamical regimes in networks of active elements make it possible to design the dynamics of models of realistic networks. A particularly salient example is…

cond-mat.dis-nn2022

Interaction of functional brain networks is formed by k-clique percolation in the human structural connectome

V. Tiselko, O. Dogonasheva, A. Myshkin +1

The human structural connectome has a complex internal community organization, characterized by a high degree of overlap and related to functional and cognitive phenomena. We explo…

nlin.AO2021★ 13 cited

Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks

Olesia Dogonasheva, Dmitry Kasatkin, Boris Gutkin +1

We propose a robust universal approach to identify multiple dynamical states, including stationary and travelling chimera states based on an adaptive coherence measure. Our approac…