The lower bound of integration a is commonly set to be zero.
Given that the part of the increase for first-generation immigrants that cannot be explained by changes in individual endowments and school composition effects is also about 15 PISA points, a comparison of the results for these two groups of immigrant students is a good indication that the upper bound of integration effects is around this number.
In essence, the slopes of the behavioral curves depend on the ratio of the parameters α and σb, and the bound on integration has relatively little importance.
However, including a bound on integration helps us to account for many features of the physiological data, which we now consider: For trials ending in T1 choices, the model captures the negative acceleration (i.e. saturation) of the slopes of the neural activation curves near the end of the motion integration period (Fig. 11 B and C).
Several cellular DNA binding proteins have been described that bind integration complexes and/or facilitate integration, including BAF, HMGa1, Ku, and LEDGF [4], [14].
As we shall discuss more fully below, the shallower slope for the HL condition toward the end of the integration period is consistent with the presence of an integration bound, which is reached sooner in the HL than in the LH condition.
School improvement is a collective endeavor, and it is inexorably bound up with integration.
Although a lower bound of 4 integration points element is required in order to provide a reliable result, a choice of a larger number of, for instance, five integration points can also be justifiable in order to obtain a completely stabilized prediction of the response.
The presence of the bound renders an integration process imperfect because it limits the amount of information accumulated, and this can produce distortion in the pattern of behavioral results.
A variety of approaches might be taken to account for this perplexing result from monkey T. For example, the data could be explained if we relax the assumption that the integration bound is kept the same across all of the reward conditions.
