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To facilitate the mutual information calculation, we formalize the definition of mutual information as follows.
Using the sum of the ISIs in the mutual information calculation hides this dependence in the muscarine case, as anticipated.
They quantify the information contained in the postsynaptic current amplitude about preceding inter-spike intervals using a mutual information calculation.
We performed a mutual information calculation with a sum of the previous ISIs, successively adding more times.
Nevertheless, compared to FBCSP [14], this off-line analysis is indeed inexpensive in terms of computational cost in our method, neither involving mutual information calculation nor eigenvalue decomposition.
In an attempt to keep all the structure in a preceding inter-spike interval sequence we used a multivariate version of the mutual information calculation.
Similar(51)
Interactions were inferred by means of mutual information calculations for a selected quantitative feature.
Outage probabilities, mutual information calculations and transmit diversity bounds for orthogonal amplify and forward (AF) and DF relaying are derived in[18] with the end-to-end performance being considered in[19] where DF is shown to perform better in terms of the ABER when compared to AF.
After expression values are calculated, mutual information is calculated.
Both the mutual information and informative prior calculation involves averaging across the candidate sequences.
The mutual information test calculates the probability of the observed mutual information to be higher than the random mutual information.
More suggestions(15)
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