Sentence examples for behavior of the worm from inspiring English sources

We were interested in long time scale locomotory behavior of the worm on food to determine whether we could quantify distinct activity phases.

We can see several motifs of this class in the reconstruction of the core network for C. elegans locomotion [31], which models the undulatory behavior of the worm with a biomechanical model based on the connection structure of the C. elegans neuronal network.

To extract the behavior of the worm during the recording, first a more accurate measure of worm position was obtained based on not only the stage position, but also the location, within the field of view, of a successfully tracked neuron, effectively calculating the position, in stage coordinates, of the centroid of the ROI.

In transgenic Caenorhabditis elegans expressing this magnetoreceptor in myo-3-specific myo-3-specific myo-3-specificc neurons, application of the external muscleicellsld triggered muscle cortraction and withdrawal behavior of the worms, indicative of mec-4-specificnt applicationof muscle cells and thech rexternalneurons, respectively.

The behavior of the worms upon response to a thermal stimulus was quantified in multiple ways.

By 20 h, we could not readily distinguish the behavior of the worms in any of the exposures from control.

The high and fluctuating density of worms in these two populations ([ 40], pers. obs. JEK, KEK) could also reflect the opportunistic behavior of the worms (extinction and re-colonization are possible) or a high influx of recruits, both of which could lead to increased temporal genetic variation.

The behavior of the worms was recorded on a Leica MZ6 microscope at a magnification of 0.63x (the microscope was fitted with a 0.5x objective and a 0.5x C-mount), which allowed 3-4 of the copper rings to fit in the view frame.

The behavioral states of the worm were identified using programs to automatically and semiautomatically identify stereotyped worm behaviors from sequence of captured images.

The behavior of the famous Witty worm is simulated within the NS-2 module and the simulations result showed that our VMITN architecture can provide the reliability and survivability under severe worm attacks.

The authors studied the foraging behavior of the C. elegans worm and found that the transitions from a local (search intensive) to a global (less turns, larger area) search strategy can be explained by a drift diffusion model that effectively maximizes information about the location of the food source.