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Narayan Puthanmadam Subramaniyam

Showing results (1-10 of 16) with videos related to

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Scientific Reports|March 29, 2025
A novel method for estimating functional connectivity from EEG coherence potentialsNarayan Puthanmadam Subramaniyam, Tara C Thiagarajan
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 14, 2015
Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networksNarayan Puthanmadam Subramaniyam, Jari Hyttinen
Physical Review. E|November 20, 2024
Sensitivity-analysis-guided Bayesian parameter estimation for neural mass models: Applications in epilepsyNarayan Puthanmadam Subramaniyam, Jari Hyttinen
Scientific Reports|February 21, 2025
Cortical parcellation optimized for magnetoencephalography with a clustering techniqueSara Sommariva, Narayan Puthanmadam Subramaniyam, Lauri Parkkonen
Network Neuroscience (Cambridge, Mass.)|July 24, 2025
Joint estimation of source dynamics and interactions from MEG dataNarayan Puthanmadam Subramaniyam, Filip Tronarp, Simo Särkkä, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Tracking of dynamic functional connectivity from MEG data with Kalman filteringFilip Tronarp, Narayan Puthanmadam Subramaniyam, Simo Sarkka, et al.
Sensors (Basel, Switzerland)|September 22, 2020
FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural NetworkClarence Tan, Gerardo Ceballos, Nikola Kasabov, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|October 18, 2024
Standardized Kalman filtering for dynamical source localization of concurrent subcortical and cortical brain activityJoonas Lahtinen, Paavo Ronni, Narayan Puthanmadam Subramaniyam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortexNarayan Puthanmadam Subramaniyam, Jari Hyttinen, Nicholas G Hatsopoulos, et al.
International Journal of Radiation Biology|May 19, 2018
Electroencephalographic signals during anesthesia recorded from surface and depth electrodesVille Jäntti, Tuomo Ylinen, Narayan Puthanmadam Subramaniyam, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Scientific Reports|March 29, 2025
A novel method for estimating functional connectivity from EEG coherence potentialsNarayan Puthanmadam Subramaniyam, Tara C Thiagarajan
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 14, 2015
Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networksNarayan Puthanmadam Subramaniyam, Jari Hyttinen
Physical Review. E|November 20, 2024
Sensitivity-analysis-guided Bayesian parameter estimation for neural mass models: Applications in epilepsyNarayan Puthanmadam Subramaniyam, Jari Hyttinen
Scientific Reports|February 21, 2025
Cortical parcellation optimized for magnetoencephalography with a clustering techniqueSara Sommariva, Narayan Puthanmadam Subramaniyam, Lauri Parkkonen
Network Neuroscience (Cambridge, Mass.)|July 24, 2025
Joint estimation of source dynamics and interactions from MEG dataNarayan Puthanmadam Subramaniyam, Filip Tronarp, Simo Särkkä, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Tracking of dynamic functional connectivity from MEG data with Kalman filteringFilip Tronarp, Narayan Puthanmadam Subramaniyam, Simo Sarkka, et al.
Sensors (Basel, Switzerland)|September 22, 2020
FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural NetworkClarence Tan, Gerardo Ceballos, Nikola Kasabov, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|October 18, 2024
Standardized Kalman filtering for dynamical source localization of concurrent subcortical and cortical brain activityJoonas Lahtinen, Paavo Ronni, Narayan Puthanmadam Subramaniyam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortexNarayan Puthanmadam Subramaniyam, Jari Hyttinen, Nicholas G Hatsopoulos, et al.
International Journal of Radiation Biology|May 19, 2018
Electroencephalographic signals during anesthesia recorded from surface and depth electrodesVille Jäntti, Tuomo Ylinen, Narayan Puthanmadam Subramaniyam, et al.
Pageof 2