(Note that it isn't just that subjects learn to draw spatial inferences from the patterns of tactile stimulation; it is that those patterns themselves become imbued with spatial content. The subjects in question say that it has come to seem to them that there is a spherical object moving towards them, for example).
TICA is a derivative of Parallel Factor Analysis (PARAFAC, [44]) which separates the multi-subject data into sets of vectors characterizing underlying signals in the temporal, spatial and subject domain.
Similarly, Bayne and Chalmers (2003, pp. 24 7) distinguish objectual unity (a matter of two conscious experiences of one object, so different from Tye's object unity), spatial unity, subject unity, and subsumptive unity, the last a matter of two or more conscious states becoming aspects of a single conscious state.
Tye (2003, pp. 11 5), for example, distinguishes object unity, neurophysiological unity, spatial unity, subject unity, introspective unity, and, finally, phenomenal unity.
The conditions for existence of solutions and stability, asymptotic and exponential, of a large class of boundary controlled systems on a 1D spatial domain subject to nonlinear dynamic boundary actuation are given.
The wind footprint of these storms are characterised by low level peak gusts over wide swathes of a region with varying spatial intensification subject to local site conditions as well as meteorological variations.
This paper derives an analytical expression of the shear coefficient in the Mindlin plate equation for a plate of infinite spatial extent subjected to forced excitation at definite frequency and wavenumber.
Randomly generated periodic microstructures with single/multiple inclusion sizes and random spatial distribution, subjected to periodic boundary conditions and a strain-controlled virtual testing regime are chosen for final analysis.
Each of the transformed maps was then blurred with a 3-dimensional Gaussian kernel with a full width at half maximum of 7 mm (to partially overcome spatial inter-subject variability) followed by a threshold at a value of 0.1 yielding a second binary map.
To capture temporal-spatial activity, subjects were fitted with personal global positioning system (GPS) monitors and motion sensors which collected data throughout the week [ 11, 12].
While the day 1/day 2 similarities in RSFC-Snowballing parcellation maps for subjects were relatively high, the spatial similarity between subjects' parcellation maps was lower (mean spatial correlation between each subject's day 1 RSFC-Snowballing aggregate peak density map and all other subject's day 1 RSFC-Snowballing aggregate peak density maps: r = 0.18, range: r = 0.11 0.21).
