• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
  • HSE University
  • Research projects
  • Investigations of neuronal mechanisms of cognition and decision making: neuroimaging, computational models and non-invasive brain stimulation

Investigations of neuronal mechanisms of cognition and decision making: neuroimaging, computational models and non-invasive brain stimulation

Priority areas of development: humanitarian
2019
The project has been carried out as part of the HSE Program of Fundamental Studies.

Publications:


Vidaurre C., Nolte G., de Vries I., Gómez M., Boonstra T., Müller K., Villringer A., Nikulin V. Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets // Neuroimage. 2019. Vol. 201:116009. P. 1-11. doi
Iemi L., Busch N., Laudini A., Haegens S., Samaha J., Villringer A., Nikulin V. Multiple mechanisms link prestimulus neural oscillations to sensory responses // eLife. 2019. No. 8. P. 1-34. doi
Zakharov D., Krupa M., Gutkin B. Modelling dopaminergic modulation of clustered gamma rhythms // Communications in Nonlinear Science and Numerical Simulation. 2019 doi
Ovadia-Caro S., Khalil A., Sehm B., Villringer A., Nikulin V., Nazarova M. Predicting the response to non-invasive brain stimulation in stroke // Frontiers in Neurology. 2019. No. 10:302. P. 1-6. doi
Schaworonkow N., Nikulin V. Spatial neuronal synchronization and the waveform of oscillations: Implications for EEG and MEG // PLoS Computational Biology. 2019. No. 15. P. 1-22. doi
Mahjoory K., Cesnaite E., Hohlefeld F., Villringer A., Nikulin V. Power and temporal dynamics of alpha oscillations at rest differentiate cognitive performance involving sustained and phasic cognitive control. // Neuroimage. 2019. Vol. 188. P. 135-144. doi
Vidaurre C., Ramos-Murguialday A., Haufe S., Gómez-Fernández M., Müller K., Nikulin V. Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation // Neuroimage. 2019. No. 199. P. 375-386. doi
Maudrich T., Kenville R., Nikulin V., Maudrich D., Villringer A., Ragert P. Inverse relationship between amplitude and latency of physiological mirror activity during repetitive isometric contractions. // Neuroscience. 2019. No. 406. P. 300-313. doi
Hulme O., Melveille T., Gutkin B. Neurocomputational Theories of Homeostatic Control // Physics of Life Reviews. 2019 doi
Bermúdez-Margaretto B., Beltrán D., Cuetos F., Dominguez A. Novel word learning: event-related brain potentials reflect pure lexical and task-related effects // Frontiers in Human Neuroscience. 2019. Vol. 13. No. 347. P. 1-13. doi
Deperrois N., Moiseeva V., Gutkin B. Minimal Circuit Model of Reward Prediction Error Computations and Effects of Nicotinic Modulations // Frontiers in Neural Circuits. 2019. Vol. 12. No. 116. P. 1-17. doi
Nazarova M., Novikov P., Kozlova K., Иванина Е. О., Nikulin V. MNI NORMALIZATION OF TMS MOTOR MAPS: PROBING WITHIN-LIMB SOMATOTOPY OF THE PRIMARY HAND MOTOR CORTEX, in: Когнитивная наука в Москве: новые исследования. Материалы конференции 19 июня 2019 г. / Под общ. ред.: Е. В. Печенкова, М. В. Фаликман. М. : Буки Веди, 2019. P. 559-563.
Martín-Luengo B., Mikhailova L., Seungah L., Kapitsyn M., Myachykov A., Shtyrov Y. EEG correlates of false information processing, in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language / Ed. by Y. Shtyrov, O. Shcherbakova. Saint Petersburg: Scifiya-print, 2019. P. 53-54.
Babayan A., Erbey M., Kumral D., Reinelt j., Reiter A., Nikulin V. A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults. // Scientific data. 2019. No. 6. P. 1-21. doi
Feurra M., Blagoveshchensky E., Nikulin V., Nazarova M., Pozdeeva D., Yurevich M., Rossi S., Lebedeva A. State-Dependent Effects of Transcranial Oscillatory Currents on the Motor System during Action Observation // Scientific Reports. 2019. Vol. 9. No. 1. P. 12858-1-12858-11. doi
Shih P., Steele C., Nikulin V., Villringer A., Sehm B. Kinematic profiles suggest differential control processes involved in bilateral in-phase and anti-phase movements. // Scientific Reports. 2019. No. 9. P. 1-12. doi
Martín-Luengo B., Seungah L., Mikhailova L., Kapitsyn M., Myachykov A., Shtyrov Y. Differential neural basis for different levels of metacognitive evaluations, in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language / Ed. by Y. Shtyrov, O. Shcherbakova. Saint Petersburg: Scifiya-print, 2019. P. 90-91.
Luna K., Albuquerque P. B., Martín-Luengo B. Cognitive load eliminates the effect of perceptual information on judgments of learning with sentences // Memory and Cognition. 2019. Vol. 47. No. 1. P. 106-116. doi
Lussange J. A., Palminteri S., Bourgeois-Gironde S., Gutkin B. Stock market microstructure inference via multi-agent reinforcement learning / arXiv. Series arXiv "Stock market microstructure inference via multi-agent reinforcement learning". 2019.
Zinchenko O. O., Belianin A. V., Klucharev V. The Role of the Temporoparietal and Prefrontal Cortices in a Third-Party Punishment: A tDCS Study // Psychology. Journal of the Higher School of Economics. 2019. Vol. 16. No. 3. P. 529-550. doi
Zinchenko O. O. Brain responses to social punishment: a meta-analysis // Scientific Reports. 2019. Vol. 9. No. 12800. P. 1-8. doi