Sentence examples for detecting the time of from inspiring English sources

Many electrophysiological experiments on neurons, namely extra-cellular recordings, are only capable of detecting the time of the spike and not the detailed voltage trajectory leading up to the spike.

Completed trials were identified by detecting the time of arrival of the monkey's eye in an electronic window (1.25 radius) centered on the target.

Psychophysical decisions were identified by detecting the time of arrival of the monkeys' eye in one of two electronic windows (1.25 radius) centered on the two choice targets (T1 and T2).

The absolute differences between the accelerometer and Fastrak in detecting the time of onset and stop of the six dynamic conditions were calculated and averaged.

It was found that both the accelerometer and Fastrak system could consistently detect the various static and dynamic conditions and the averaged difference between the accelerometer and Fastrak in detecting the time of onset and stop was small (0.69 ± 0.57 s).

Collectively, these properties represent a circadian temperature entrainment mechanism that is optimized in its ability to detect the time-of-day information encoded in natural environmental temperature profiles.

Collectively, these properties, as described below, represent a circadian temperature entrainment mechanism that is optimized in its ability to detect the time-of-day information encoded in natural environmental temperature profiles.

Firstly, a functional observer is designed for the attitude systems of flexible spacecraft in order to detect the time of unknown sensor fault occurred.

The similarity function is adopted in [21] for detecting the time differences of the arrival times among different generators connected to a common bus using terminal voltages, while the leading generator is identified as the oscillation source.

Then we detected the time course of cisplatin-induced apoptosis in CaSki cell.

No S282T, the signature resistance mutation for sofosbuvir, was detected at the time of relapse using deep sequencing with a level of detection of 1%.