Estimation of Cross-frequency Interactions in the Human Brain

Student: Miasnikova Aleksandra

Supervisor: Vadim Nikulin

Educational Programme: Cognitive Sciences and Technologies: From Neuron to Cognition (Master)

Final Grade: 9

Year of Graduation: 2018

In the work A. Myasnikova applies the new method for the extraction of interacting signals along with their topographies to the EEG recording obtained from participants at rest. The method has been developed by the Group of Neurodynamics, HSE. The frequency ratio of 2:3, 2:1, i.e. beta-gamma, beta-alpha rhythmic components, is considered. The new method is validated both in simulations and in real data. A set of techniques to enhance the accuracy and robustness of the algorithm is developed and applied.

Full text (added May 24, 2018)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses