If the receptacle is matter, there would be no difficulty in understanding how any receptacle part could be in motion: a given bit of "stuff" could be variously characterized over time, either in the same place or at different places, and still be re-identifiable as that same bit of stuff.
Localizability in this sense goes beyond mere implementation in local neural circuitry, since a given bit of circuitry could (and often does) subserve more than one cognitive function.
RRAA[6] monitors the short term loss ratio (during a window) in a given bit-rate and compares the loss ratio with two pre-defined thresholds called PORI and PMTL.
This marvelous show confirms that the close-up, in a given moment, can convey quite a bit of the whole picture.
Homologs were identified as gene pairs that had Blast hits in both directions within a given scaled bit score threshold, which has been used previously to identify conserved homologs in bacteria (Lerat et al. 2003).
Today's advance comes from Singapore's Institute of Materials Research and Engineering, where Dr Joel Yang has figured out a way to fit several times the number of bits in a given area.
While the head of a deterministic Turing machine, in a given state, reading a certain bit on the tape, has only one (unique) successor state available to it, a probabihstic Turing machine has multiple successor states available.
In a given fault vector Δ, the bit Δ i = 1 only if all the positive inputs to the function G i are active or 1.
We can repeat this procedure, allocating ΔB bits to each of terminal node of the tree in a given iteration, until all B bits are exhausted.
