Thus we show that adaptation to motion must (also) occur at a stage at which local motions have not yet been integrated to give a unified percept.
(Della-Maggiore et al., 2004; Thoroughman & Shadmehr, 2000) This observation has led researchers to suggest that either the original adaptation or motion aftereffect could be used to train skills (Rose et al., 1996; Sveistrup, 2004).
Adaptations in motion at the hips may contribute to additional modifications further down the kinematic chain (i.e., from the hips to the knee).
In addition, the advantage of striped patterns may stem from the repeating nature of the markings, as spatial frequency can affect speed perception [ 28], and such markings may fatigue or cause adaptation in motion-sensitive cells [ 29].
However, we recently demonstrated that adaptation to tactile motion can lead to visual motion aftereffects, and visa versa.
Thus, it has been shown that the apparent duration of a dynamic stimulus can be reduced in a local region of visual space following motion adaptation [8], and the effect of this adaptation is spatially selective in real-world rather than retinal coordinates, allowing to separately time targets placed in different locations of external space [9].
Motion adaptation in LPTCs is known to decrease the cell response to stimulus motion (Maddess and Laughlin, 1985; Harris et al., 2000; Kurtz et al., 2009).
We use inverse kinematics based motion adaptation to make pre-existing pieces of motion apply to new targets.
In many species, including humans, exposure to high image velocities induces motion adaptation, but the neural mechanisms are unclear.
However, there are many conventional fast mode decision and search range adaptation algorithms for motion estimation, Ding's algorithm overlaps with some of these conventional algorithms.
