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In information theory, specific-information is the generic name given to the family of state-dependent measures that in expectation converge to the mutual information. There are currently three known varieties of specific information usually denoted ${\displaystyle I_{V}}$, ${\displaystyle I_{S}}$, and ${\displaystyle I_{ssi}}$. The specific-information between a random variable ${\displaystyle X}$ and a state ${\displaystyle Y=y}$ is written as :${\displaystyle I(X;Y=y)}$.

References

• Deweese, Michael; Meister, Markus (1999). "How to measure the information gained from one symbol". Network: Computation in Neural Systems. 10 (4): 325–40. CiteSeerX 10.1.1.553.8013. doi:10.1088/0954-898X/10/4/303. PMID 10695762.
• Butts, Daniel (2003). "How much information is associated with a particular stimulus?". Network: Computation in Neural Systems. 14 (2): 177–87. doi:10.1088/0954-898X/14/2/301. PMID 12790180.

• Information theory