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A robust maximum correntropy criterion for dictionary learning
TLDR
We introduce a method that incorporates robustness to one of the main building blocks of sparse modeling: dictionary learning that is based on a Maximum Correntropy Criterion instead of the somewhat limited Minimum Squared Error. Expand
Classification of hand movement direction based on EEG high-gamma activity
TLDR
The Electroencephalogram (EEG) is a non-invasive technique used in the medical field to record and analyze brain activity. Expand
A Marked Point Process Framework for Extracellular Electrical Potentials
TLDR
Neuromodulations are an important component of extracellular electrical potentials (EEP), such as the Electroencephalogram (EEG), Electrocorticogram (ECoG) and Local Field Potentials (LFP). Expand
Hierarchical Linear Dynamical Systems: A new model for clustering of time series
TLDR
The auditory cortex in the brain does effortlessly a better job of extracting information from the acoustic world than our current generation of signal processing algorithms. Expand
Transient model of EEG using Gini Index-based matching pursuit
TLDR
We introduce a novel, transient model for the electroencephalogram (EEG) as the noisy addition of linear filters responding to trains of delta functions. Expand
Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition
TLDR
We introduce a novel variation on the well-known Matching Pursuit (MP) algorithm using estimated higher-order statistics as similarity measures instead of the Gaussian statistics that perform optimally only under Gaussian assumptions. Expand
The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG
TLDR
We introduce a novel technique to analyze nonstationarity in single-channel Electroencephalogram (EEG) traces: the Embedding Transform. Expand
RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations
TLDR
In this paper, we introduce five robust variants of OMP (RobOMP) fully based on the theory of M-Estimators under a linear model. Expand
A marked point process approach for identifying neural correlates of tics in Tourette Syndrome
TLDR
We propose a novel interpretation of local field potentials (LFP) based on a marked point process (MPP) framework that models relevant neuromodulations as shifted weighted versions of prototypical temporal patterns. Expand
Discrimination of Movement-Related Cortical Potentials Exploiting Unsupervised Learned Representations From ECoGs
TLDR
We propose a generative model for single-channel ECoGs that is able to fully characterize reoccurring rhythm–specific neuromodulations as weighted activations of prototypical templates over time. Expand
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