Search Results - "Loza, Carlos A."

Hippocampal place cell sequences differ during correct and error trials in a spatial memory task by Zheng, Chenguang, Hwaun, Ernie, Loza, Carlos A., Colgin, Laura Lee

“…Theta rhythms temporally coordinate sequences of hippocampal place cell ensembles during active behaviors, while sharp wave-ripples coordinate place cell…”
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RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations by Loza, Carlos A

“…Sparse coding aims to find a parsimonious representation of an example given an observation matrix or dictionary. In this regard, Orthogonal Matching Pursuit…”
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Discrimination of Movement-Related Cortical Potentials Exploiting Unsupervised Learned Representations From ECoGs by Loza, Carlos A, Reddy, Chandan G, Akella, Shailaja, Príncipe, José C

“…Brain-Computer Interfaces (BCI) aim to bypass the peripheral nervous system to link the brain to external devices via successful modeling of decoding…”
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A Marked Point Process Framework for Extracellular Electrical Potentials by Loza, Carlos A, Okun, Michael S, Príncipe, José C

“…Neuromodulations are an important component of extracellular electrical potentials (EEP), such as the Electroencephalogram (EEG), Electrocorticogram (ECoG) and…”
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Transient model of EEG using Gini Index-based matching pursuit by Loza, Carlos A., Principe, Jose C.

“…We introduce a novel, transient model for the electroencephalogram (EEG) as the noisy addition of linear filters responding to trains of delta functions. We…”
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Robust Variants of Dictionary Learning Exploiting M-Estimators by Loza, Carlos A.

“…We propose a robust alternative the well known dictionary learning technique K-SVD. Specifically, we exploit the theory behind M-Estimators to incorporate…”
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The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG by Loza, Carlos A., Principe, Jose C.

“…We introduce a novel technique to analyze nonstationarity in single-channel Electroencephalogram (EEG) traces: the Embedding Transform. The approach is based…”
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Dinámica de inundaciones ambientales en humedales de la Cuenca baja del Rio Grijalva: enfoque espaciotemporal a través de imágenes Landsat by Núñez-Magaña, Tania G., Galindo-Alcántara, Adalberto, Mastachi-Loza, Carlos A., Becerril-Piña, Rocío, Palomeque de la Cruz, Miguel A., Ruiz-Acosta, Silvia del C.

“…La diversidad de metodologías existentes para definir y analizar la dinámica de las superficies de agua muestra la dificultad que genera investigar su…”
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Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach by Loza, Carlos A., Principe, Jose C.

“…We propose a novel interpretation of single channel Electroencephalogram (EEG) traces based on the transient nature of encoded processes in the brain. In…”
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A marked point process approach for identifying neural correlates of tics in Tourette Syndrome by Loza, Carlos A., Shute, Jonathan B., Principe, Jose C., Okun, Michael S., Gunduz, Aysegul

“…We propose a novel interpretation of local field potentials (LFP) based on a marked point process (MPP) framework that models relevant neuromodulations as…”
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Classification of hand movement direction based on EEG high-gamma activity by Loza, Carlos A., Philips, Gavin R., Hazrati, Mehrnaz Kh, Daly, Janis J., Principe, Jose C.

“…The Electroencephalogram (EEG) is a non-invasive technique used in the medical field to record and analyze brain activity. In particular, Brain Machine…”
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La evaporación en la cuenca del lago de Pátzcuaro, México by Enrique González Sosa, Carlos A. Mastachi Loza, J. Bernardo Rivera Vázquez, Alfonso Gutiérrez López, Jacqueline Lafragua, Aurelio Guevara Escobar

“…La composición anual de la evaporación en la cuenca del lago de Pátzcuaro se integró por la evapotranspiración de la vegetación, las pérdidas por intercepción,…”
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Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling by Loza, Carlos A, Colgin, Laura L

“…We propose a generative model for single-channel EEG that incorporates the constraints experts actively enforce during visual scoring. The framework takes the…”
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Sparse Wave Packets Discriminate Motor Tasks in EEG-based BCIs by Loza, Carlos A., Principe, Jose C.

“…We propose a novel non-linear source separation technique for single-channel, multi-trial Electroencephalogram (EEG). First, a generative model is posited as…”
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Robust Estimation of Shift-Invariant Patterns Exploiting Correntropy by Loza, Carlos A., Principe, Jose C.

“…We propose a novel framework for robust estimation of recurring patterns in time series. Particularly, we utilize correntropy and a shift-invariant adaptation…”
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A robust maximum correntropy criterion for dictionary learning by Loza, Carlos A., Principe, Jose C.

“…We introduce a method that incorporates robustness to one of the main building blocks of sparse modeling: dictionary learning. Particularly, we exploit…”
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Unsupervised robust detection of behavioral correlates in ECoG by Loza, Carlos A., Principe, Jose C.

“…Electrocorticogram (ECoG) based Brain-Computer Interfaces (BCI) provide finer spatial resolution and improved signal-to-noise ratio than its noninvasive…”
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Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition by Loza, Carlos A., Principe, Jose C.

“…We introduce a novel variation on the well-known Matching Pursuit (MP) algorithm. In particular, the sparse approximation problem is solved in a greedy scheme…”
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Hierarchical Linear Dynamical Systems: A new model for clustering of time series by Cinar, Goktug T., Loza, Carlos A., Principe, Jose C.

“…The auditory cortex in the brain does effortlessly a better job of extracting information from the acoustic world than our current generation of signal…”
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