Sentence examples for predictions of behavioral from inspiring English sources

To transform responses from a population of neurons into quantitative predictions of behavioral sensitivity and choice probabilities, we decoded simulated population activity by computing a likelihood function as in previous studies (Sanger, 1996; Dayan and Abbott, 2001; Jazayeri and Movshon, 2006; Gu et al., 2010; Fetsch et al., 2011).

These findings provide additional support for the context-specificity of operant extinction, and support the prediction of behavioral momentum theory that stimuli associated with higher rates of reinforcement engender greater persistence and relapse than those associated with lower rates of reinforcement.

However, our proposed model of sexual decision-making significantly improved the prediction of behavioral intentions.

Besides extraversion, neuroticism was found to make a small but unique contribution to the prediction of behavioral inhibition, although it needs to be mentioned that this was only the case in the sample of non-clinical children.

14, 15 Mosaicism in FXS in both males and females (methylation mosaicism, somatic mosaicism) further complicates the prediction of behavioral outcomes, can also result in variable phenotypes, and has often been overlooked when identifying individuals for clinical trial participation in the past.

In Figures 6 and 8, the predictions of the behavioral model are now plotted for the full set of runs (with a minimum duration of 1 sec).

LN model predictions (blue lines) and linear filter predictions (green lines) of behavioral responses to a step decrease (right panels).

LN model predictions (blue lines) and linear filter predictions (green lines) of behavioral responses to defined random flicker (right panels).

(C ) LN model predictions (blue lines) of behavioral responses to step changes in optogenetic illumination (left panels) and defined random flicker (right panels).

The results are thus consistent with the prediction of the behavioral explanation of the day-of-the-week effect.

The goal of this environment is to support the automated identification and efficient prediction of the behavioral response of multiphysics continuous interacting systems.