Sentence examples for relative timings from inspiring English sources
Nevertheless, the additional difficulty of estimating specific mutation rates from a higher-order phylogeny means that in many species tree studies this strategy is not used and only the topology and relative timings of the cladogenetic events (but not absolute times) are estimated [ 19– 219.
7How much information the individual possesses at the time of the interview of course depends on the relative timings of windfall gains and survey interview, but on average there is a 50% chance that the individual had already received the windfall gains.
Time-resolved TMS over multiple brain network nodes can elucidate the relative timings of functional relevance for behavior ("TMS chronometry"), while fMRI functional or effective connectivity (fMRI EC) can map task-specific interactions between brain regions based on the interrelation of measured signals.
Eventually, through trial and error performance, aiming for a faster, less time-segmented motion, the system may learn to rely on the relative timings, as was manifested in the transfer from automated straight to automated curved reaches.
(B) Decomposition of the relative timings of the auditory and visual stimuli within each subtype of audiovisual stimuli.
It is not necessary for the users to transmit synchronously because the guard subchannel assures that the signals remain orthogonal to each other, independently of their relative timings.
Therefore, the number of possible relative timing indices for fine time adjustment in our proposed approach is approximately equal to 50.
This high time resolution is not for absolute time but for the relative timing between the MEP-e and PWE.
For relative timing measurement, Granger causality outperformed time-to-peak calculations derived from an inverse logit curve fit.
We gave the spontaneous period activity trace of each neuron a time-offset equal to the relative timing of its activity peak timing within the stimulus period sequence.
In our work, the relative timing of mutations is inferred by longitudinal data with multiple time points.
