Space x,y Wave amplitude v Time t The land of time (dynamics at 1 space point) x,y,v (for t =t n ) t,v (for x = x l and y = y m ) The land of space.

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Presentation transcript:

Space x,y Wave amplitude v Time t

The land of time (dynamics at 1 space point) x,y,v (for t =t n ) t,v (for x = x l and y = y m ) The land of space (map at 1 time point)

Time snapshots Multiplot x,y,v t1 x,y,v t2 … t,v (x1,y1) t,v (x1,y2) … t,v (x2,y1) t,v (x2,y2) … … … … Movie

Where to redirect space? v t wave amplitude time xyxy abscissa ordinates xyxy space

Perceptual organization Color vision Location/proximity → color attributes/color similarity Temporal ubiquity Vision Persistence of information Selective attention Memory

Colorimetric model: distance in a color space Gestalt Ability of the brain to perform perceptual organization

v t xyxy space wave amplitude time xyxy abscissa “wave length” (colorimetric model) ordinates

(x,y) x,y,v,t

Welcome to hell: ~1 week of analysis per second of EEG Less than 2 cycles per spatio-temporal pattern - typical -

4D visualization Filter selection Phase aggregation analysis Segmentation Coordination Dynamics Source location/source dynamics Database spatio-temporal features Stationary? YES NO Temporal organization Classification REFINE

Conditions of occurrence: Mental states, clinical/pharmacological condition, cognitive operations, behavior…

Rabinovitch et al., (2008)

Two uncoordinated assemblies Real synchronization inphase

Babiloni et al., 2005 Source estimation is aided by 3 key aspects of this frameworks: Reconstruction performed on homogeneous samples of brain dynamics Limited inter-electrode variance in SNR and artifacts (bandpass filter) Prior knowledge (number of source, coordination dynamics...) provides constraints