Specific-information

Short description: State-dependent measures that converge to the mutual information

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 $I_V$, $I_S$, and $I_{ssi}$. The specific-information between a random variable $X$ and a state $Y=y$ is written as :$I(X;Y=y)$.

References

• Deweese, Michael; Meister, Markus (1999). "How to measure the information gained from one symbol". Network: Computation in Neural Systems 10 (4): 325–40. 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.