A5069607494- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Blind Source Separation Techniques
- Nonlinear Dynamics and Pattern Formation
- Combustion and flame dynamics
- Parallel Computing and Optimization Techniques
- Experimental Learning in Engineering
- Teaching and Learning Programming
- Neural Networks and Applications
- Data Visualization and Analytics
- Neural and Behavioral Psychology Studies
- Computer Graphics and Visualization Techniques
- Embedded Systems Design Techniques
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Chaos control and synchronization
- Time Series Analysis and Forecasting
- Quantum chaos and dynamical systems
- Peer-to-Peer Network Technologies
- Genetics, Bioinformatics, and Biomedical Research
- Advanced Combustion Engine Technologies
- Interconnection Networks and Systems
- Evolutionary Algorithms and Applications
- Caching and Content Delivery
The University of Texas at San Antonio
2015-2024
The University of Texas at Austin
1977-2021
DEVCOM Army Research Laboratory
2016-2020
The University of Texas Health Science Center at San Antonio
2012
Cajal Neuroscience (United States)
2005-2006
University of Houston
1984-2002
Hartford Financial Services (United States)
1980
United Technologies Corporation (Poland)
1980
Massachusetts Institute of Technology
1975
The technology to collect brain imaging and physiological measures has become portable ubiquitous, opening the possibility of large-scale analysis real-world human imaging. By its nature, such data is large complex, making automated processing essential. This paper shows how lack attention very early stages an EEG preprocessing pipeline can reduce signal-to-noise ratio introduce unwanted artifacts into data, particularly for computations done in single precision. We demonstrate that ordinary...
We examine the problem of accurate detection and classification artifacts in continuous EEG recordings. Manual identification artifacts, by means an expert or panel experts, can be tedious, time-consuming infeasible for large datasets. use autoregressive (AR) models feature extraction characterization signals containing several kinds subject-generated artifacts. AR model parameters are scale-invariant features that used to develop across a population. support vector machine (SVM) classifier...
Although several guidelines for best practices in EEG preprocessing have been released, even studies that strictly adhere to those contain considerable variation the ways recommended methods are applied. An open question researchers is how sensitive results of analyses variations and parameters. To address this issue, we analyze effect on downstream analysis using simple signal event-related measures. Signal measures include recording-level channel amplitudes, study-level amplitude...
Efficient server selection algorithms reduce retrieval time for objects replicated on different servers and are an important component of Internet cache architectures. This paper empirically evaluates six client-side algorithms. The study compares two statistical algorithms, one using median bandwidth the other latency, a dynamic probe algorithm, hybrid random selection. pool includes topologically dispersed set United States state government Web servers. Experiments were run three clients...
Abstract The onset of turbulence in many systems appears disorganized and unpredictable. However, the present detailed study a well-known model reveals series well-defined transitions from steady motion to highly non-periodic behaviour. bifurcation structure this simple model, which describes both reversing disc dynamo Benard convection thin fluid loops, is characteristic class with subcritical instabilities. It found that curve for instability does not have stable branch linearly solutions...
A stable periodic solution of the Lorenz system in limit as $R \to \infty $ is computed a fixed point Poincaré mapping. The shown to exist for finite R by application implicit function theorem. Successive bifurcations decreased nonperiodic regime are examined numerically.
Electroencephalography (EEG) offers a platform for studying the relationships between behavioral measures, such as blink rate and duration, with neural correlates of fatigue attention, theta alpha band power. Further, existence EEG studies covering variety subjects tasks provides opportunities community to better characterize variability these measures across subjects. We have implemented an automated pipeline (BLINKER) extracting ocular indices rate, duration velocity-amplitude ratios from...
Rhythmic oscillatory activity is widely observed during a variety of subject behaviors and believed to play central role in information processing control. A classic example rhythmic alpha spindles, which consist short (0.5-2 s) bursts high frequency activity. Recent research has shown that spindles the parietal/occipital area are statistically related fatigue drowsiness. These constitute sharp changes underlying statistical properties signal. Our hypothesis change point detection models can...
In our experiments on a loop of fluid heated with constant flux the bottom half and cooled at temperature top half, we have observed three chaotic flow regimes: globally regime whose essential features can be described by one-dimensional cusp-shaped map, subcritical in which either or steady, transient remains for time then decays into steady flow.
Recent advances in sensor and recording technology have allowed scientists to acquire very large time-series datasets. Researchers often analyze these datasets the context of events, which are intervals time where properties signal change relative a baseline signal. We developed DETECT, MATLAB toolbox for detecting event long, multi-channel series. Our primary goal is produce that simple researchers use, allowing them quickly train model on multiple classes assess accuracy model, determine...
Cooperating proxy caches are groups of HTTP servers that share cached objects. This paper models the speedup in average user response time for cooperation and derives expressions upper bound, a mesh organization, hierarchical organization. The parameterized using empirically determined hit rates times. Models account overhead different discovery mechanisms (ICP or metadata directory) clarify trade-off between effectiveness. We find to be only marginally viable when sole criterion is time. By...
Low order moments of the alpha dynamo equations in a geophysical regime are related to dependent variables reversing disk dynamo. The link suggests that nonperiodic reversal is an intrinsic feature provided forcing vigorous and toroidal poloidal magnetic fields sufficiently out phase. nonuniformities frequency then attributable subcritical instability.
Real-world brain imaging by EEG requires accurate annotation of complex subject-environment interactions in event-rich tasks and paradigms. This paper describes the evolution HED (Hierarchical Event Descriptor) system for systematically describing both laboratory real-world events. version 2, first described here, provides semantic capability a variety subject environmental states. descriptions can include stimulus presentation events on screen or virtual worlds, experimental spontaneous...
An analysis of stationary and nonstationary cellular patterns observed in premixed flames on a circular, porous plug burner is presented. A phenomenological model introduced, that exhibits similar to the experimental states. The primary modes are combinations Fourier-Bessel functions, whose radial parts have neighboring zeros. This observation explains several features patterns, such as existence concentric rings cells weak coupling between rings. Properties rotating cells, including...
Large-scale analysis of EEG and other physiological measures promises new insights into brain processes more accurate robust brain-computer interface (BCI) models.. However, the absence standard-ized vocabularies for annotating events in a machine understandable manner, welter collection-specific data organizations, diffi-culty moving across processing platforms, unavailability agreed-upon standards preprocessing have prevented large-scale analyses EEG. Here we describe "containerized"...
The network behavior of cortical cells during the processing a light flash was characterized in an isolated, but functionally intact, turtle visual system.Rapid changes intracellular membrane potential were monitored optically using voltagesensitive dye (VSD).Spatially coherent determined by subjecting high-speed movies VSD signals to Karhunen-Loe ´ve decomposition.In all experimental trials analyzed (n Ͼ 50), activity re-stricted small number similar spatial patterns or modes.At least four...
ABSTRACT Ordered states of cellular flames, consisting concentric rings approximately equally sized cells, are observed over a wide range parameters in our experiments using heavy hydrocarbon-air mixtures on circular porous plug burner at low pressure. These ordered have been found with cell numbers ranging from five to thirty. At critical value the flow rate, which depends equivalence ratio, transition disordered state is observed, ring structure disappears; cells change their shape, size...
ABSTRACT Ordered states of cellular flames on circular porous plug burners consist concentric rings cells. At certain values the flow rate and equivalence ratio a transition is made to state in which entire ceils rotate. The direction rotation depends only initial conditions. Our observations rotating include single ring, an outer ring about inner cell, surrounded by fixed two corotating or counterrotaling rings. A cells can also make modulated shapes speed periodically change. In another...
In this paper, we investigated Deep Learning (DL) for characterizing and detecting target images in an image rapid serial visual presentation (RSVP) task based on EEG data. We exploited DL technique with input feature clusters to handle high dimensional features related time - frequency events. The method was applied recordings of a RSVP experiment multiple sessions subjects. For classification non-target images, deep belief net (DBN) classifier the uncorrelated features, which constructed...