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Regular version of the site
Publications
Article
A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings

Elizaveta Okorokova, Linderman M., Ossadtchi A. et al.

Frontiers in Neuroscience. 2015. Vol. 9. No. 389. P. 1-15.

Book chapter
Towards magnetoencephalography based on ultrasensitive laser pumped non-zero field magnetic sensor

Ossadtchi A., Kulachenkov N., Chuchelov D. et al.

In bk.: International Conference Laser Optics 2018 (ICLO 2018).St. Petersburg, Russia, 4 - 8 June, 2018. Proceedings. Red Hook; NY: IEEE, 2018.

The last decade is marked by an increased interest in studying the possibility of direct communication between the brain and external devices, including the brain of another person. The most accessible type of brain-computer interfaces uses multi-channel electroencephalographic signals that non-invasively record brain activity. Despite active research in this direction, it has not been possible to achieve natural control of external devices solely on the basis of non-invasively recorded brain signals.

At the same time, animal experiments have shown that using deep electrodes that record the activity of a large number of individual neurons, it is possible to create brain-controlled devices that reproduce natural motor actions, such as capturing and moving objects and walking on two legs. Invasive IMC can decode and schedule movements over time.

Application of such technology to the creation of interfaces on people is limited by high risks of using needle electrodes, arising complications, as well as fouling of needle electrodes with a connective tissue and loss of electrical contact. A reasonable compromise is the use of subdural or epidural nets of electrodes, allowing with a low risk to the health of the user to significantly increase the capacity of the direct communication channel with the brain, and also through electrostimulation to realize somatosensory feedback.

The main goal of the Laboratory is the development of the information technology of bidirectional communications using the corticographic interface in combination with modern methods for processing multidimensional data and somatosensory feedback through electrostimulation or sensory replacement.

The project is carried out jointly with the clinical medical centre of the Clinical Medical Centre of MGMSU and the Polenov Russian Research Institute of Neurosurgery, who are the clinical bases of this interdisciplinary project.

The development of the interface is based on knowledge of the functional significance of areas of the cerebral cortex. Such information can be obtained using the methods of neurocardication which is another field of research of our laboratory.

 


Congratulations to Nikolay Smetanin on receiving his PhD!

Alexei Ossadtchi gave an interview to "UHNWI data"

Alexei Ossadtchi spoke about the current research of the centre, technologies of brain-computer interfaces and detection of epileptic spikes.

Congratulations to Alexander Kovalev on winning the "Umnik" competition!

Alexander Kovalev's project "Development of an Algorithm for Predicting a Subcortical BOLD Signal with Simultaneous EEG Recording Using Deep Learning Methods" won the competition for grants under the "Umnik" program. Congratulations!

Daria Kleeva won a grant from the "Idea" Research Center! Congratulations!

The research by Daria Kleeva, an employee of the Center and a student of the master's program "Cognitive Sciences and Technologies: From Neuron to Cognition", dedicated to the development of methods for mapping functional networks of the brain and carried out under the supervision of Alexei Ossadtchi, was supported by the "Idea" Science Foundation.

Alexey Ossadchi will hold an online seminar on "Imaging networks as sources: PSIICOS and beyond"

15th of March at 6 pm (Msk) Alexey Ossadtchi will hold an online seminar on "Imaging networks as sources: PSIICOS and beyond"

Congratulations to Gurgen Sogoyan on winning a studentship from M. Potanin fund!

We congratulate our colleague Gurgen Sogoyan on winning a studentship from the M. Potanin Fund for exceptional master students! 

Yulia Nurislamova has been accepted to the doctoral program at the Max Planck School of Cognition!

Yulia Nurislamova, our junior research fellow and student of "Cognitive Sciences and Technologies: From Neuron to Cognition" master program, has been accepted to the doctoral program at the "Max Planck School" of Cognition in Germany. Congratulations!

Research paper "Decoding and interpreting cortical signals with a compact convolutional neural network" has been accepted for publication!

Paper by Artur Petrosyan, Mikhail Sinkin, Mikhail Lebedev and Alexei Ossadtchi "Decoding and interpreting cortical signals with a compact convolutional neural network" is going to be published in "Journal of Neural Engineering". Congratulations!

Research paper "Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources" has been accepted for publication!

Paper by Aleksandra Kuznetsova, Yulia Nurislamova and Alexei Ossadtchi "Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources" is going to be published in "NeuroImage". Congratulations!

Chapters in "Brain-Computer Interfaces Handbook" and "Brain-Computer Interface Research" are published!

Mikhail Lebedev and Alexey Ossadtchi have published chapters in the 2020 "Brain – Computer Interfaces Handbook" and 2018 "Brain – Computer Interface Research".