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Efficiency of convolutional neural networks of different architecture for the task of depression diagnosis from EEG data
Shusharina N.N.
The impact of internal noise on the performance of convolutional neural network
Semenova N.I.
Recurrent neural network consisting of FitzHugh–Nagumo systems: characteristics required for training
Semenova N.I.
Noise influence on recurrent neural network with nonlinear neurons
Moskvitin V.M., Semenova N.I.
A spiking binary neuron — detector of causal links
Kiselev M.V., Larionov D.A., Andrey U.M.
Synchronization regimes in the ring of rodent hippocampal neurons at limbic epilepsy
Kornilov M.V., Kapustnikov A.A., Sozonov E.A., Sysoeva M.V., Sysoev I.V.
Transition from ergodic to many-body localization regimes in open quantum systems in terms of the neural-network ansatz
Yusipov I.I., Kozinov E.A., Laptyeva T.V.
Mathematical model for epileptic seizures detection on an EEG recording
Nazarikov S.I.
Collective dynamics of a neural network of excitable and inhibitory populations: oscillations, tristability, chaos
Kirillov S.Y., Zlobin A.A., Klinshov V.V.
Searching the structure of couplings in a chaotic maps ensemble by means of neural networks
Shabunin A.V.
Biomorphic navigation system version
Malishev Y.A., Yakhno V.G.
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