1 citations · 1 across the 1 of their papers we have counts for
3 papers
Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy
Rakesh Malladi, Don H Johnson, Giridhar P Kalamangalam +2
We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referre…
Data-Driven Estimation Of Mutual Information Between Dependent Data
Rakesh Malladi, Don H Johnson, Behnaam Aazhang
We consider the problem of estimating mutual information between dependent data, an important problem in many science and engineering applications. We propose a data-driven, non-pa…
Identifying Seizure Onset Zone from the Causal Connectivity Inferred Using Directed Information
Rakesh Malladi, Giridhar Kalamangalam, Nitin Tandon +1
In this paper, we developed a model-based and a data-driven estimator for directed information (DI) to infer the causal connectivity graph between electrocorticographic (ECoG) sign…