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[Applause] hi everyone iamp;#39;m erica serkera and i am a master degree student uh in the international neuroscience institute at de mont and lilly safra in macalbe brazil and the title of the present study is eeg based face locking value for motor and imaginary motor task discrimination well on one hand we know that brain machine interface studies have helped a lot in the recovery or adaptation of individuals who have a disease such as cva or who have been through an accident such as for example a catastrophe that causes some type of paralysis so because of that the interest of scientific community in improving the brain machine interface mechanisms has also increased on the other hand we know that to perform tasks the brain recruits different neuronal populations from different areas that are distributed over the cortical and subcortical regions that interact with each other this type of interaction has contributed a lot to the development of brain machine interfaces and one way to
