The simulated inferior olive (IO) module uses spiking compartmental model neurons adapted from Schweighofer et al. ([88], [89]; see Eq. 32, Eq. 42).
This method uses spike-in (or negative) control genes to remove sources of technical variation such as differences in library preparation or variation among flow cells.
This is conducted using spike trains simulated from stimulus mixtures.
Method performance was assessed using spike recovery tests and analyzing certified reference material (ERM-CA615, groundwater).
Normally, such models use real valued continuous signals, although they are loosely based on biological neuronal networks that encode signals using spike trains.
He also said agents would use spike strips to stop vehicles.
We used spike peak, spike valley and spike energy as the main parameters for clustering.
Normalization was carried out based on a standard curve constructed using spike in exogenous control samples.
LFPs were then displayed online and saved onto hard disk using Spike II software® (version 5.0, Cambridge Electronic Design).
Single unit isolation was assessed using spike interval histograms and visual inspection of waveform shape; the minimum interval between spikes was greater than 2 ms for all neurons.
