Sentence examples for prediction signal from inspiring English sources

For EEG seizure detection and prediction, signal statistics such as variance and entropy can be used for channel selection.

For the actual DE, a block of samples in the reference picture is directly used as the prediction signal without interpolating any intermediate samples.

Then a weighted prediction signal is computed using the similarity of the examples with the query compound as the weighting factor.

The final prediction signal for the hypothesis h can be written: S h, x = w s h, x × ∑ i = 1 k w i, x k (3).

Fuzzy logic and ANFIS have been successfully used in many engineering areas, for example, pedestrian behavior [15], capacity estimation [16], driving situation recognition [17], collision avoidance support system [18], traffic signal control at isolated intersection [19], rainfall prediction, signal co-ordination, and highway accident analysis [20].

These programs cover trans-membrane topology prediction, signal peptide prediction, secondary structure prediction, coiled-coil prediction, low-complexity region calculation, domain identification, homology search, multiple alignments, 3D structure prediction, and so on.

These findings fit comfortably with predictive coding models [ 3], which predict that top-down corticocortical connections convey prediction signals at slower time scales (e.g. beta) compared to bottom-up connections that convey prediction error signals at faster time scales (e.g. gamma).

The results of this comparison are quite compelling: when parameterized using data from the optimal cycle, the cell voltage prediction signal-to-noise ratio improves significantly over the benchmarks.

The pattern recognition going on in the striatum is guided by dopaminergic reward prediction signals [ 33].

Recent computational modeling estimated that prediction error responses outweigh prediction signals by a factor of 2 1 (Egner et al. 2010).

This architecture would be consistent with the proposal that perception relies both on prediction signals (that would be enhanced by repetitions) and on prediction error signals (that would be reduced with repetitions; e.g. Mumford 1992; Friston 2005).