N. Subramaniyam

发表

Characterization of dynamical systems under noise using recurrence networks: Application to simulated and EEG data

J. Hyttinen, N. Subramaniyam, 2014 .

Analysis of nonlinear dynamics of healthy and epileptic EEG signals using recurrence based complex network approach

J. Hyttinen, N. Subramaniyam, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Signatures of chaotic and stochastic dynamics uncovered with ϵ-recurrence networks

J. Donges, J. Hyttinen, N. Subramaniyam, 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Electroencephalographic signals during anesthesia recorded from surface and depth electrodes

A. Yli-Hankala, V. Jäntti, E. Sonkajärvi, 2018, International journal of radiation biology.

Electric field of eeg during anesthesia

A. Yli-Hankala, V. Jäntti, O. Väisänen, 2017 .

Causal coupling inference from multivariate time series based on ordinal partition transition networks

Jari Hyttinen, Reik V. Donner, Narayan Puthanmadam Subramaniyam, 2020, Nonlinear Dynamics.

Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation

Tipu Aziz, Lauri Parkkonen, Kevin Warwick, 2019, Sensors.

Recurrence network analysis of wide band oscillations of local field potentials from the primary motor cortex reveals rich dynamics.

Kazutaka Takahashi, Nicholas G. Hatsopoulos, Jari Hyttinen, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network

Nikola K. Kasabov, Clarence Tan, Narayan Puthanmadam Subramaniyam, 2020, Sensors.

Editorial: Data science in neuro- and onco-biology

N. Subramaniyam, Sara Sommariva, Michele Piana, 2023, Frontiers in Applied Mathematics and Statistics.

Evaluating the electrode measurement sensitivity of subdermal electroencephalography electrodes

Katrina Wendel-Mitoraj, Narayan Puthanmadam Subramaniyam, Miguel Rodrigues Mendes, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Investigating the measurement capability of densely-distributed subdermal EEG electrodes

Atte Joutsen, Katrina Wendel, Jari Hyttinen, 2011, 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism.

Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter

Narayan P Subramaniyam, O. Väisänen, J. Malmivuo, 2010, Nonlinear biomedical physics.

Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks.

Jari Hyttinen, Narayan Puthanmadam Subramaniyam, J. Hyttinen, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Abstracts presented at the 8th International Symposium on Memory and Awareness in Anesthesia (MAA8) Milwaukee, WI, USA, June 2–5, 2011

A. G. Messina, H. Bergman, M. Boly, 2012 .

Joint estimation of neural sources and their functional connections from MEG data

Simo Särkkä, Lauri Parkkonen, Filip Tronarp, 2020, bioRxiv.

Source Localization Based on Ictal Electroencephalographic Recordings

Jarno M. A. Tanskanen, Jukka Peltola, Katrina Wendel-Mitoraj, 2013 .

Waveform complexity: A new metric for EEG analysis

Narayan P Subramaniyam, Dhanya Parameshwaran, Tara C Thiagarajan, 2019, Journal of Neuroscience Methods.

Astrocytes facilitate gabazine-evoked electrophysiological hyperactivity and distinct biochemical responses in mature neuronal cultures.

J. Hyttinen, N. Subramaniyam, B. Genocchi, 2024, Journal of neurochemistry.