Sentence examples for information quantified from inspiring English sources

Texture information quantified how reliably a neuron's firing rate could distinguish between the two stimuli associated with the same reward location.

Reward location information quantified how reliably a neuron's firing rate could distinguish between the two behaviors expressed on a single platform – turn left versus turn right.

The input action potential train, which was composed of retinal ganglion cell responses to natural movies (from [ 9]) carried 94 bits/s of information (quantified using the direct method [ 17] but with zero noise entropy).

The propagation of information, quantified by I, was estimated as in [ 6], with the only difference being that we do not measure I from attractors, but rather from transients, since we are interested in the information propagated in the network due to perturbations and not in the long-term behaviors.

The mutual information quantifies the extent to which uncertainty of the unknown signal is reduced when measurements are given.

The value of information quantifies the benefits of new information and flexibility can be added to the project considering various possible scenarios; it offers the opportunity to improve projects by changing decisions in the future.

The situation is opposite when it comes to general and lower secondary education: the OECD Teaching and Learning Survey TALISS) traditionally provides relevant information quantifying a well-established and well-known set of indicators.

Two models, namely the Multi Attribute Value Theory MAVTT) and the Analytic Hierarchy Process (AHP), were used, due to the ease with which they handle a mix of quantitative and qualitative information, quantify the qualitative information and generate an overall value for each alternative.

Mutual information quantifies odor discriminability taking into account not only the separation of mean neural responses but also the variability of responses without any assumption of specific decoders.

Whereas the classification rate deals with only the most likely stimulus predicted by the decoders given a particular neural response, the mutual information quantifies the overall knowledge about the presented stimulus, such as which stimulus is unlikely given a particular neural response.

Mutual information quantifies how much information an output can carry about an input across a noisy channel.