575 citations
- University of WashingtonUS32 papers
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4 papers · 1 filter
Extracting Unique Information Through Markov Relations
Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover
We propose two new measures for extracting the unique information in and not about a message , when and are joint random variables with a given joint distribu…
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta +1
Motivated by neuroscientific and clinical applications, we empirically examine whether observational measures of information flow can suggest interventions. We do so by performing…
Partial Information Decomposition via Deficiency for Multivariate Gaussians
Praveen Venkatesh, Gabriel Schamberg
Bivariate partial information decompositions (PIDs) characterize how the information in a "message" random variable is decomposed between two "constituent" random variables in term…
Quantifying synergistic mutual information
Virgil Griffith, Christof Koch
Quantifying cooperation or synergy among random variables in predicting a single target random variable is an important problem in many complex systems. We review three prior infor…