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This Matlab code supports the calculation of information theoretic (mutual information, stimulus-specific information, stimulus-specific surprise) and Fisher-based measures (Fisher information, I_Fisher, SSI_Fisher) in these population models.
The calculation of information content also needs to use Shannon's information entropy.
The calculation of information theoretical quantities on finite size samples is affected by random and systematic errors (47).
When position independencies do not hold, the decomposition in the above sum does not hold either and in general the calculation of information content requires a sum over all words.
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Previous research has treated loci as non-interacting by making specific approximations in the calculation of information-theoretic quantities.
Each of the highly similar sequences contributes little additional information, but still has an equal amount of influence on the calculation of mutual information under the assumption of a uniform distribution of the observed sequences.
To circumvent these issues, this work addresses the calculation of derivative information based on automatic differentiation and sensitivity analysis to ensure increased accuracy.
The computational complexity for the calculation of the information dimension is similar to that of the fractal dimension [32].
For the calculation of mutual information, we deviate from the unrealistic Gaussian assumption for the alphabets and consider them from discrete constellations.
We have shown that the calculation of mutual information is fraught with difficulty, but it can be used with care to find phase transitions in socio-economic and cognitive systems.
Initially received linear network coding packets enable the calculation of variable information through PUdst, so it is possible to figure out that among a number of cases of phase difference in Fig. 6 with the 90° gap is the signal of PU and SU.
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