Sentence examples for neural preparation from inspiring English sources

Figure 1A shows a cartoon of the tilt platform with the isolated neural preparation.

Our study generalizes and supersedes [2] both in methodology: we considered all the available scales, instead of only

The light intensity required during closed-loop control varied across orders of magnitude and depended on the target rate, control algorithm, stimulus waveform, type of neural preparation being controlled, and variability in cell-to-cell and culture-to-culture excitability.

Comparative experimental investigations of both intact animals and reduced neural preparations, integrated with mathematical modeling, have been instrumental in advancing our understanding of insect locomotion.

The isolated neural preparations were placed in an orientation so that the rise of the platform corresponded to a head down tilt in the intact animal.

2-arachidonoylglycerol has been reported to be hydrolysed by multiple enzyme activities from neural preparations, including ABHD6 (Q9BV23) 197, ABHD12 (8neuropathy neuropatargetrgesterasease (PNPLA6, Q8IY17 204) and carboxylesterase 1 (CES1, P23141  212).

Although we found no evidence that this was the case in our networks, the situation might differ for other neural preparations or brain regions.

A quantitative comparison of microarray results obtained from the two new pan-neural RNA samples (DMM10 and DMM11) used for the WT-Pico amplification vs the originally isolated pan-neural preparations (DMM2, DMM3, DMM4) also used for the IVT amplification [ 8] showed a broadly similar distribution of intensity values (R2 > 0.91) (see Fig 2).

For Cash1 book preparations, neural tubes were dissected and cut along the ventral or dorsal midline prior to mounting on slides in 20% glycerol/PBS.

In some experiment, mice were sacrificed 24 h after virus infection, the brain were collected for RNA extraction or for preparation of neural cells by using Neural Tissue Dissociation Kit (Miltenyi Biotech).

We found that phases not picked in training data diminish the detection capability of the neural network and proper preparation of training data is therefore fundamental.