Automated method and device suitable for ensuring the dynamic perceptual invariance of an event with a view to extracting therefrom unified semantic representations are provided. The event is perceived by a linguistic data translator that delivers a signal (HD) referenced (x,y), which signal is transformed into a signal (MAP1) referenced (i,j) through a unit (Dec) that carries out a Gaussian filtering operation that is parameterized by w and decimated by a coefficient k, and transformed into a signal (MAP2) referenced (X,Y) representative of the invariant event through a unit (ROI). A unit (71′) transforms the signal (MAP1) into a signal of oriented edge (ImBo) and of curvature (ImCb), which are presented to a dynamic attractor (80_0) that statistically transforms this information into a curvature cb0 and average orientation bo0, centroid i0,j0 and size of the point cloud ap0,bp0 in order to supply an invariance-computing unit (Inv), which delivers the parameters w, k and the addresses (X,Y) of the signal (MAP2). The invention is applicable in the neuroscience field as an electronically integratable memory-storage unifier.
Automated method and device capable of providing dynamic perceptive invariance of a space-time event with a view to extracting unified semantic representations therefrom