Abstract
Employing experiments that range from studying isolated pairs of lobster neurons to looking at electrical and magnetic signals from human test subjects, physicists are applying concepts from nonlinear systems, chaos and control theory to improve our understanding of neuronal dynamics. Exemplifying this approach, a collaboration in Germany between neurologists at the University of Düsseldorf and physicists at the University of Potsdam has recently demonstrated the potential of a new nonlinear analysis technique—phase synchronization—for neuronal studies. With this tool, the researchers found evidence in magnetoencephalography (MEG) data for synchronous activity between different parts of the brain and between the brain and the muscles during the tremor of a patient with Parkinson's disease (see the figure below).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
