Date: Thu, July 19, 16:00-18:00
Place: Room An401, An Block, IIS, The University of Tokyo

Invited Speaker: Prof. Klaus-Robert Muller (Technical University of Berlin)

Title: Modeling brain data

Abstract:
In the first part of the talk I present a novel mechanism that
contributes to the generation of evoked responses. Interestingly, this
mechanism can be deduced entirely from the characteristics of
spontaneous oscillations in the absence of stimuli. Our findings are
relevant to the vast majority of electroencephalographic and
magnetoencephalographic studies involving perceptual, cognitive and
motor activity.
The second part will discuss a novel technique to identify truly
interacting subsystems of a complex system from multi-channel data if
the recordings are an unknown linear and instantaneous mixture of the
true sources. For this, a new blind source separation (BSS) technique is
proposed that uses antisymmetrized cross-correlation or cross-spectral
matrices and subsequent diagonalization. The resulting decomposition
finds truly interacting subsystems blindly and suppresses any spurious
interaction stemming from the mixture. The usefulness of this
Interacting Source Analysis (ISA) is demonstrated in simulations and for
real EEG data.