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Volga Neuroscience School 2016 Astroglial control of rhythm genesis in the brain
Conclusions
In our work we made an attempt to find a specific stimuli setup where one stimulus can elicit a prominent ERP response that can be distinguished from ERPs to other stimuli. An emotional face among neutral faces was used as such stimulus under conditions where subjects' task was just to look at all presented stimuli without any other instructions. We found out that such unusual stimulus can not only enhance several ERP components, but also be classified as target stimulus among non-targets as if it was a typical P300 BCI task where the user has to pay attention to the desired stimulus. A particular advantage of using emotional faces as stimuli can be developed from comparing the two conditions where participants had to pay attention to one target stimulus and ignore all the other stimuli: the amplitude of all analyzed ERP components and classification accuracies were higher for 'Emotional Attended' vs 'Neutral Attended' conditions. Our results provide evidence that using stimuli with emotional faces can increase the efficiency of P300 BCI operating and, with adopting presentation paradigm and classification techniques, can be helpful for creating systems for EEG-based emotion detection.
Acknowledgements
This study was partially supported by funding from the Skolkovo Foundation (project 1110034) and from the Russian Science Foundation (15-19-20053).
Multistable Dynamics in the Motif of Inhibitory Coupled Rulkov Neurons
T. A. Levanova1 *, A.O. Kazakov1,2, G. V. Osipov1
1 Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia;
2 National Research University Higher School of Economics, Nizhny Novgorod, Russia. * Presenting e-mail: tatiana.levanova@itmm.unn.ru
We study the model of small ensemble of inhibitory-coupled neuron-like elements based on phenomenological Rulkov model of neuron cell [1-4]. We study analytically and numerically possible transitional and stable regimes of neuron-like activity and bifurcation transitions between them. We focus on phenomena of regular and chaotic sequential switching activity. We describe the influence of couplings topology on the dynamics of the ensemble.
Acknowledgements
This study was supported by the Russian Science Foundation (grant 14 12 00811) and the Russian Foundation for Fundamental Research (grant 16-32-00835)
References
1. N.F. Rulkov, Phys. Rev. E, 2002, 65, 041922.
2. A.L. Shilnikov, N.F. Rulkov, 2003, Int. J. Bif. Chaos, 13(11), 3325.
3. A.L. Shilnikov, N.F. Rulkov, Phys. Lett. A, 2004, 328, 177.
4. N.F. Rulkov, I. Timofeev, M. Bazhenov, J. Comput. Neurosci., 2004, 17, 203.
104 Opera Med Physiol 2016 Vol. 2 (S1)
