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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.

 


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".

A postdoc position is open in our Centre!

The Higher School of Economics Center for Bioelectric Interfaces in Moscow, Russia invites applications for postdoctoral research positions in the field of neuroimaging and neurointerfaces.

Research paper "Short-delay neurofeedback facilitates training of the parietal alpha rhythm" has been accepted for publication!

Paper by Anastasia Belinskaya, Nikolai Smetanin, Michail Lebedev and Alexei Ossadtchi, "Short-delay neurofeedback facilitates training of the parietal alpha rhythm"  is going to be published in "Journal of Neural Engineering". Congratulations!

Dr. Stephanie R. Jones, Associate Professor at Brown University, is going to give a talk during the next seminar!

We are very happy to announce that the next speaker in the Centre for Bioelectric Interfaces online seminar series (29.10, 17:00) is going to be Dr. Stephanie R. Jones, Associate Professor at Brown University!

New article "The importance of being on time: delayed neurofeedback impedes training of the parietal alpha-band power" was published on biorxiv!

An article by Anastasiia Belinskaia, Nikolai Smetanin, Mikhail Lebedev, and Alexei Ossadtchi, "The importance of being on time: delayed neurofeedback impedes training of the parietal alpha-band power", was published on biorxiv!

New article "Decoding neural signals with a compact and interpretable convolutional neural network" was published on biorxiv!

An article by Artur Petrosuan, Mikhail Lebedev, and Alexei Ossadtchi, "Decoding neural signals with a compact and interpretable convolutional neural network", was published on biorxiv!

New artical "Decoding hand kinematics from population responses in sensorimotor cortex during grasping" is published!

New article by Elizaveta Okorokova, "Decoding hand kinematics from population responses in sensorimotor cortex during grasping", is published in Journal of Neural Engineering. Congratulations!

New article "Local propagation dynamics of MEG interictal spikes: source reconstruction with traveling wave priors" was published on biorxiv!

An article by Alexandra Kuznetsova, Mikhail Lebedev, and Alexei Ossadtchi, "Local propagation dynamics of MEG interictal spikes: source reconstruction with traveling wave priors", was published on biorxiv!

Pre-defense of the dissertation of Volkova Ksenia took place!

March 21, pre-defense of the dissertation of Volkova Ksenia "Experimental paradigms and data processing algorithms design in real time cognitive neuroimaging" took place. The committee unanimously recommended a dissertation for the defense procedure. Congratulations!