Narayan Puthanmadam Subramaniyam
Highly Influential Citations2
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Abstract In this letter, we study the influence of observational noise on recurrence network (RN) measures, the global clustering coefficient (C) and average path length (L) using the Rossler system… (More)
Recently Andrezejak et al. combined the randomness and nonlinear independence test with iterative amplitude adjusted Fourier transform (iAAFT) surrogates to distinguish between the dynamics of… (More)
Epilepsy is a neurological condition characterized by sudden occurrences of rapid electrical discharges. Different non-linear methods like correlation dimension, Lyapunov exponent, entropy and more… (More)
Owing to their millisecond-scale temporal resolution, magnetoencephalography (MEG) and electroencephalography (EEG) are well-suited tools to study dynamic functional connectivity between regions in… (More)
Current techniques to determine functional or effective connectivity from magnetoencephalography (MEG) and electroencephalography (EEG) signals typically involve two sequential steps: 1) estimation… (More)
Aggregate signals that reflect activities of a large number of neurons in the cerebral cortex, local field potentials (LFPs) have been observed to mediate gross functional activities of a relatively… (More)
Accurate source localization of the epileptogenic regions require EEG data that reflect only the epileptic activity. Isolating the ictal activity from the other artifacts and normal background… (More)
This paper studies the effect of bipolar subdermal EEG lead placement on measurement sensitivity distributions. The electrodes were subdermally located on the skull of a realistic human head and… (More)
An old and important problem in the field of nonlinear time-series analysis entails the distinction between chaotic and stochastic dynamics. Recently, -recurrence networks have been proposed as a t...