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SUMMARY:Harmonic spectral components in time sequences of Markov correlat
ed events with an application to EEG and MEG signals
DTSTART;VALUE=DATE-TIME:20170904T143000Z
DTEND;VALUE=DATE-TIME:20170904T150000Z
DTSTAMP;VALUE=DATE-TIME:20230207T205700Z
UID:indico-contribution-124@zakopane.if.uj.edu.pl
DESCRIPTION:Speakers: Anna Carbone (Politecnico di Torino)\, Piero Mazzett
i (Politecnico di Torino)\n\nThe talk is addressed to the analysis of tim
e sequences of Markov correlated events give rise to a line power spectrum
having a relevant physical interest. In particular\, Markov matrices able
to represent closed loop sequences of events with arbitrary distribution\
, generated in a steady physical condition\, generate a large set of line
spectra\, covering a very broad frequency range. The spectral lines is giv
en by a matrix equation based on a generalized Markov matrix involving the
Fourier transform of the distribution functions representing the time int
ervals between successive events of the sequence. The theoretical power sp
ectra is then applied to describe the emergence of a broad set of waves fo
und in the electro and magneto-encephalograms\, whose frequency ranges fro
m 0.5 to about 40 Hz\, in terms of the effects produced by chains of firin
g neurons within the complex neural network of the brain. Synchronized clo
sed loop sequences of firing neurons are considered and a few numerical si
mulations are reported.\n\nhttps://zakopane.if.uj.edu.pl/event/4/contribut
ions/124/
LOCATION:56
RELATED-TO:indico-event-4@zakopane.if.uj.edu.pl
URL:https://zakopane.if.uj.edu.pl/event/4/contributions/124/
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