Sentence examples for behavioral estimates from inspiring English sources

These data suggest that the A-chirp may be optimally suited as a single screening broad-frequency stimulus for rapid ABR threshold estimations in the rodent and could serve to complement more detailed frequency-specific physiologic and behavioral estimates of hearing threshold.

Argos location data, though an improvement over previous behavioral estimates, can be highly erroneous due to the Doppler algorithm used to calculate location during satellite overpasses [51], [52].

In humans, behavioral estimates of azimuth are largely dominated by low-frequency ITDs (Wightman and Kistler, 1992), and the mean unsigned error with broadband noise bursts (open-loop condition) is about 5° in the frontal hemifield (2 10° depending on azimuth) in a two-dimensional absolute localization task (Makous and Middlebrooks, 1990).

For this purpose, we used an existing dataset and replicated the CEA with addition of partial behavioral change estimates, based on the stages-of-change algorithm.

Data from the SMOKE study [ 17] were used to re-analyze a CEA with addition of partial behavioral change estimates based on the stages-of-change algorithm.

On the basis of studies of classical inbred strains, behavioral heritability estimates were reported to be approximately 0.2 0.7 for open-field activity, wheel running, running speed and locomotor behaviors (Billat et al. 2005; Festing 1979; Lightfoot et al. 2004, 2010; Mhyre et al. 2005).

These characteristics point to possible strategies that may reduce levels of attrition and may also reduce the impact of attrition on the interpretation of behavioral models estimated with longitudinal data.

The model is non-linear, due to the many multiplicative connections of variables in definitions and many behavioral equations estimated in double logarithms (Großmann and Wolter, 2010).

The model is non-linear, due to the many multiplicative connections of variables in definitions and many behavioral equations estimated in double logarithms.

The reinforcement learning model fits to the behavioral data provide estimates of the reward prediction error experienced after every choice.

This tool is an inexpensive and non-invasive means to study survivorship, intra-specific behavioral interactions, population estimates, and large-scale migration patterns of wild animals, as in cetaceans [10]; coelacanths [11]; cheetahs [12]; and whale sharks [13].