Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery

GR Philips, JJ Daly, JC Príncipe - Journal of neuroengineering and …, 2017 - Springer
Background Biomarkers derived from neural activity of the brain present a vital tool for the
prediction and evaluation of post-stroke motor recovery, as well as for real-time biofeedback …

Quantifying cognitive state from EEG using dependence measures

B Fadlallah, S Seth, A Keil… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
The exquisite human ability to perceive facial features has been explained by the activity of
neurons particularly responsive to faces, found in the fusiform gyrus and the anterior part of …

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS)

L Li, IM Park, S Seth, JS Choi, JT Francis… - … Learning for Signal …, 2011 - ieeexplore.ieee.org
This paper proposes a nonlinear adaptive decoder for somatosensory micro-stimulation
based on the kernel least mean square (KLMS) algorithm applied directly on the space of …

Robust EEG preprocessing for dependence-based condition discrimination

BH Fadlallah, S Seth, A Keil… - … Conference of the IEEE …, 2011 - ieeexplore.ieee.org
This paper addresses the robustness of the filtering schemes in processing high resolution
electroencephalogram (EEG) data in the context of discriminating two stimuli flickering at a …

Analyzing dependence structure of the human brain in response to visual stimuli

BH Fadlallah, S Seth, A Keil… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Communication between cortices mediated by deep brain structures such as the amygdala
and fusiform gyrus has been suggested to explain the enhanced perception of stimuli …

Study of cognitive distraction detection based on GMA analysis

W Wang, X Zhang, Y Wen… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Driver cognitive distraction (eg, voice-based IVISs) has become an important and growing
safety concern. Cognitive distraction detection presents an important function for driver …

Kernel-Based Approaches to AnalyzeTime-Varying Data

S García Vega - 2014 - repositorio.unal.edu.co
El desarrollo de sistemas de aprendizaje máquina utilizando datos variantes en el tiempo
requiere considerar la propiedades estacionarias y lineales de los datos de entrada. En …