Sentence examples for path representation of from inspiring English sources

In erroneous trials, path representation of future regions was slightly greater than that of past regions, but the difference was not significant.

The comparison of the results from the new and conventional algorithm showed improvement in the ray-path representation of the presented algorithm.

In other paths (representations of other prototype days) like the one with most states or the one over state 7 the activity of the whole day is interrupted with pauses at particular times which can be interpreted, for example, as lunch breaks or external meetings.

(B, D, F ) Path representation (the sum total of posterior probabilities of decoded locations) averaged across all path replays within future and past regions, defined from the start position to memory-guided/previous goals, for the trials shown in A, C, and E. Red bars indicate SD. (G – L ) as for (A – F ), but for path replays occurring within the stem.

Path representation in the vicinity of both goals was significantly greater than in the remainder of the maze area.

To statistically compare the strength of path representation in the replays between selected regions, path representation strength was defined as the sum total of the posterior probability.

(B, D, F) Path representation (the sum total of place preferences) averaged across all path replays within future and past regions, defined from the start position to memory-guided/previous goals, for the trials shown in A, C, and E. Red bars indicate SD. (G L) as for (A F), but for path replays occurring within the stem.

(B ) Path representation, that is, the sum total of the posterior probabilities of decoded locations, within the goal vicinity and in the remaining area.

Path representation (i.e., the sum total of the posterior probabilities of decoded locations) of future regions was significantly greater than that of past regions in the correct spatial alternation trials.

DOI: http://dx.doi.org/10.7554/eLife.08105.006 I examined path representation in the temporally compressed replay of place cell activity sequences during the brief periods of immobility in the awake behavioral state.

In this case, the most probable path to extinction can be obtained by solving the classical equations of motion that dominate a path integral representation of the stochastic neural field in the weak noise limit.