Nucleofection is really a promising electroporation based transfection method to perform loss and gain of function studies in normal cells. We show here that, as the number of trials increases indefinitely, the direct estimate of marginal entropy converges to the entropy of the timeaveraged conditional distribution of the response, and the direct estimate of the conditional entropy converges to the time averaged entropy of the conditional distribution of the response. Under combined stationarity and ergodicity of the reaction and stimulus, the difference of these volumes converges towards the mutual information. No longer estimates good information, that is no longer important when the government is deterministic or non fixed the immediate Dasatinib BMS-354825 estimate of information, but it remains a measure of variability of the reaction distribution across time. Information estimates are used to characterize the amount of data that a spike train contains about a stimulus. They’re motivated by information theory and widely considered to calculate the mutual information between government and spike train reaction. They’re often calculated using data from studies where the response and stimulus Cholangiocarcinoma are powerful and time varying. For good information to be precisely identified, see for example, the stimulus and response should be considered arbitrary, and they need to also be stationary and ergodic, once the estimates are obtained from time averages. Used these assumptions usually are tacit, and information estimates, such as for example the direct method suggested by, might be made without specific consideration of the stimulus. This could lead to misinterpretation. The reason for this notice is to show that the primary method information estimate can be reinterpreted as the average divergence across time of the conditional response distribution from its overall mean, in the absence of stationarity and ergodicity: information estimates do not always estimate mutual information, but possibly of use interpretations can nevertheless be made by referring back to the timevarying divergence. They need to hold more generally regardless of the choice of entropy estimator, although our results are specific to the direct method with the plug in entropy estimator. The essential issue concerns stationarity: practices that presume stationarity are unlikely to be appropriate when Tipifarnib price stationarity is apparently violated. Within the non stationary case, our 2nd result should be of use, as would be other techniques that explicitly think about the active and non stationary nature of the stimulus and response, see for example. We start with a short report on the direct method and plug in entropy estimator. This is followed closely by results showing the data estimate may be recast as a time average. This observation is first produced in the number of trials case, and then formalized with a theorem describing the limiting behavior of the data estimate while the number of trials will infinity.