227 citations · 677 across the 15 of their papers we have counts for
15 papers
Symbiosis of an artificial neural network and models of biological neurons: training and testing
Tatyana Bogatenko, Konstantin Sergeev, Andrei Slepnev +2
In this paper we show the possibility of creating and identifying the features of an artificial neural network (ANN) which consists of mathematical models of biological neurons. Th…
Simple method for detecting sleep episodes in rats ECoG using machine learning
Konstantin Sergeev, Anastasiya Runnova, Maxim Zhuravlev +5
In this paper we propose a new method for the automatic recognition of the state of behavioral sleep (BS) and waking state (WS) in freely moving rats using their electrocorticograp…
Delay-induced self-oscillation excitation in the FitzHugh-Nagumo model: regular and chaotic dynamics
Vladimir V. Semenov, Andrei V. Bukh, Nadezhda Semenova
The stochastic FitzHugh-Nagumo model with time delayed-feedback is often studied in excitable regime to demonstrate the time-delayed control of coherence resonance. Here, we show t…
Noise mitigation strategies in physical feedforward neural networks
Nadezhda Semenova, Daniel Brunner
Physical neural networks are promising candidates for next generation artificial intelligence hardware. In such architectures, neurons and connections are physically realized and d…
Unbalanced clustering and solitary states in coupled excitable systems
Igor Franović, Sebastian Eydam, Nadezhda Semenova +1
We demonstrate the mechanisms of emergence and the link between two types of symmetry-broken states, the unbalanced periodic two-cluster states and solitary states, in coupled exci…
Non-invasive analysis of blood-brain barrier permeability based on wavelet and machine learning approaches
Nadezhda Semenova, Konstantin Segreev, Andrei Slepnev +6
The blood-brain barrier plays a decisive role in protecting the brain from toxins and pathogens. The ability to analyze the BBB opening (OBBB) is crucial for the treatment of many…
Understanding and mitigating noise in trained deep neural networks
Nadezhda Semenova, Laurent Larger, Daniel Brunner
Deep neural networks unlocked a vast range of new applications by solving tasks of which many were previously deemed as reserved to higher human intelligence. One of the developmen…
Chimera states in ensembles of excitable FitzHugh-Nagumo systems
Nadezhda Semenova
An ensemble of nonlocally coupled excitable FitzHugh-Nagumo systems is studied. In the presence of noise the explored system can exhibit a special kind of chimera states called coh…
Fundamental aspects of noise in analog-hardware neural networks
Nadezhda Semenova, Xavier Porte, Louis Andreoli +3
We study and analyze the fundamental aspects of noise propagation in recurrent as well as deep, multi-layer networks. The main focus of our study are neural networks in analogue ha…
Mechanism of solitary state appearance in an ensemble of nonlocally coupled Lozi maps
Nadezhda Semenova, Tatyana Vadivasova, Vadim Anishchenko
We study the peculiarities of the solitary state appearance in the ensemble of nonlocally coupled chaotic maps. We show that nonlocal coupling and features of the partial elements…
New type of chimera and mutual synchronization of spatiotemporal structures in two coupled ensembles of nonlocally interacting chaotic maps
Andrei Bukh, Elena Rybalova, Nadezhda Semenova +2
We study numerically the dynamics of a network made of two coupled one-dimensional ensembles of discrete-time systems. The first ensemble is represented by a ring of nonlocally cou…
Time-delayed feedback control of coherence resonance chimeras
Anna Zakharova, Nadezhda Semenova, Vadim Anishchenko +1
Using the model of a FitzHugh-Nagumo system in the excitable regime we investigate the influence of time-delayed feedback on noise-induced chimera states in a network with nonlocal…
Noise-induced chimera states in a neural network
Anna Zakharova, Nadezhda Semenova, Vadim Anishchenko +1
We show that chimera patterns can be induced by noise in nonlocally coupled neural networks in the excitable regime. In contrast to classical chimeras, occurring in noise-free osci…
Coherence-resonance chimeras in a network of excitable elements
Nadezhda Semenova, Anna Zakharova, Vadim Anishchenko +1
We demonstrate that chimera behavior can be observed in nonlocally coupled networks of excitable systems in the presence of noise. This phenomenon is distinct from classical chimer…
Hyperbolicity impedes emergence of chimera states in networks of nonlocally coupled chaotic oscillators
Nadezhda Semenova, Anna Zakharova, Eckehard Schöll +1
We analyze nonlocally coupled networks of identical chaotic oscillators with either time-discrete or time-continuous dynamics (Henon map, Lozi map, Lorenz system). We hypothesize t…