The phrase "a set of spikes" is correct and usable in written English.
It can be used to describe a collection or group of spikes, often in contexts related to sports, biology, or engineering.
Example: "The athlete wore a set of spikes designed for optimal traction on the track."
Alternatives: "a collection of spikes" or "a group of spikes."
He mostly trains alone - "Just give me a set of spikes and a track and I'm OK" - against a clock.
The suspects drove over a set of spikes near Exit 58 in Telford, Conn., and drove six more miles with flat tires before stopping, the police said.
Thus, in this step, we first learn the low dimensional embedding using a set of spikes annotated by an expert (positive class), and a set of spike-like waves that are nonspecific sharp transients (negative class).
On the bases of our limited experience, we propose that a platform that uses the spike-in normalization system, as that described here, must adhere to the requirement of a minimum of 200 replicates among all spikes and a set of spikes representative of the range of expression values of the experimental data.
At Milepost 161, a tribal policeman from the Tohono O'odham reservation waited with a set of spike strips.
We present an efficient recursive algorithm, termed Matching-Minimization algorithm, to compute the sample mean of a set of spike trains.
Before he could make it back, a few cops stopped him with a set of spike strips and arrested him.
He managed to stay ahead of them peppering his livestream with whoops of "I told y'all this was GTA," "we're gonna die tonight," and "crash parade!"—until he ran over a set of spike strips.
The STDP-based copying algorithm we describe shares the above features with human causal inference; it infers a dynamical causal model from a set of spike trains that arise from an underlying and invisible causal graph (another neuronal network).
We start with a set of spike time sequences acquired from a group of single units.
Another protocol that uses a set of "spike-in" calibration standards was proposed to estimate, but not to directly measure, endogenous transcript abundance [ 9].
