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Realistic Source Models of ERP Data
, 2005
"... author claims copyright privileges on all parts of this paper. Some material is quoted verbatim from other sources and that material is indicated with quotes and references). The purpose of this document is to detail the development of realistic ECD source models of ERP data. The electroencephalogra ..."
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author claims copyright privileges on all parts of this paper. Some material is quoted verbatim from other sources and that material is indicated with quotes and references). The purpose of this document is to detail the development of realistic ECD source models of ERP data
Biclustering of Expression Data
, 2000
"... An efficient nodedeletion algorithm is introduced to find submatrices... ..."
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Cited by 591 (0 self)
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An efficient nodedeletion algorithm is introduced to find submatrices...
EEGLAB: an open source toolbox for analysis of singletrial EEG dynamics including independent component analysis
 J. Neurosci. Methods
"... Abstract: We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of singletrial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event i ..."
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Cited by 836 (44 self)
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information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multitrial ERPimage plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decompositions including channel
−0.2 Classi cation of ERP Data: Spatially
"... • x, N, γ (italics): scalar • x, µ (bold face, lower case): column vector • X, Σ (bold face, upper case): matrix • I denotes the identity matrix Some math • trace(X): = ∑ d i=1 (X)i,i for square matrix X ∈ R d×d • trace(X) = sum of the Eigenvalues of X.Today's Topic 2 Classi cation of spatio ..."
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temporal features; shrinkage of the sample covariance matrix to counterbalance the estimation bias. Reminder: sgn r 2Topography of Oddball Data 3
Electrifying results: ERP data and cognitive linguistics
 Methods in Cognitive Linguistics. Amsterdam and Philadelphia: John Benjamins
, 2007
"... Have you ever heard anyone say that people typically use only 10 % of their brains? I have. Interestingly, I’ve never heard anyone suggest that we typically only use 10 % of our stomach, 10 % of our kidneys, or 10 % of our heart. Yet, like the stomach, the kidneys, and the heart, the brain is an org ..."
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Cited by 1 (0 self)
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Have you ever heard anyone say that people typically use only 10 % of their brains? I have. Interestingly, I’ve never heard anyone suggest that we typically only use 10 % of our stomach, 10 % of our kidneys, or 10 % of our heart. Yet, like the stomach, the kidneys, and the heart, the brain is an organ made up of cells that undergo continuous metabolic activity.
Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
, 2004
"... Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear m ..."
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Cited by 1513 (20 self)
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Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear measurements do we need to recover objects from this class to within accuracy ɛ? This paper shows that if the objects of interest are sparse or compressible in the sense that the reordered entries of a signal f ∈ F decay like a powerlaw (or if the coefficient sequence of f in a fixed basis decays like a powerlaw), then it is possible to reconstruct f to within very high accuracy from a small number of random measurements. typical result is as follows: we rearrange the entries of f (or its coefficients in a fixed basis) in decreasing order of magnitude f  (1) ≥ f  (2) ≥... ≥ f  (N), and define the weakℓp ball as the class F of those elements whose entries obey the power decay law f  (n) ≤ C · n −1/p. We take measurements 〈f, Xk〉, k = 1,..., K, where the Xk are Ndimensional Gaussian
Estimation and Inference in Econometrics
, 1993
"... The astonishing increase in computer performance over the past two decades has made it possible for economists to base many statistical inferences on simulated, or bootstrap, distributions rather than on distributions obtained from asymptotic theory. In this paper, I review some of the basic ideas o ..."
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Cited by 1151 (3 self)
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The astonishing increase in computer performance over the past two decades has made it possible for economists to base many statistical inferences on simulated, or bootstrap, distributions rather than on distributions obtained from asymptotic theory. In this paper, I review some of the basic ideas of bootstrap inference. The paper discusses Monte Carlo tests, several types of bootstrap test, and bootstrap confidence intervals. Although bootstrapping often works well, it does not do so in every case.
The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis
 Cognit Psychol
, 2000
"... This individual differences study examined the separability of three often postulated executive functions—mental set shifting (‘‘Shifting’’), information updating and monitoring (‘‘Updating’’), and inhibition of prepotent responses (‘‘Inhibition’’)—and their roles in complex ‘‘frontal lobe’ ’ or ‘ ..."
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Cited by 626 (9 self)
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This individual differences study examined the separability of three often postulated executive functions—mental set shifting (‘‘Shifting’’), information updating and monitoring (‘‘Updating’’), and inhibition of prepotent responses (‘‘Inhibition’’)—and their roles in complex ‘‘frontal lobe’ ’ or ‘‘executive’ ’ tasks. One hundred thirtyseven college students performed a set of relatively simple experimental tasks that are considered to predominantly tap each target executive function as well as a set of frequently used executive tasks: the Wisconsin Card Sorting Test (WCST), Tower of Hanoi (TOH), random number generation (RNG), operation span, and dual tasking. Confirmatory factor analysis indicated that the three target executive functions are moderately correlated with one another, but are clearly separable. Moreover, structural equation modeling suggested that the three functions
On the time course of perceptual choice: the leaky competing accumulator model
 PSYCHOLOGICAL REVIEW
, 2001
"... The time course of perceptual choice is discussed in a model based on gradual and stochastic accumulation of information in nonlinear decision units with leakage (or decay of activation) and competition through lateral inhibition. In special cases, the model becomes equivalent to a classical diffus ..."
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Cited by 457 (20 self)
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diffusion process, but leakage and mutual inhibition work together to address several challenges to existing diffusion, randomwalk, and accumulator models. The model provides a good account of data from choice tasks using both timecontrolled (e.g., deadline or response signal) and standard reaction time
Extended recurrence plot analysis and its application to ERP data
 Int. J. Bifur. Chaos Cogn. Complex Brain Dynam
, 2004
"... We present new measures of complexity and their application to event related potential data. The new measures base on structures of recurrence plots and makes the identification of chaoschaos transitions possible. The application of these measures to data from singletrials of the Oddball experimen ..."
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Cited by 6 (1 self)
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We present new measures of complexity and their application to event related potential data. The new measures base on structures of recurrence plots and makes the identification of chaoschaos transitions possible. The application of these measures to data from singletrials of the Oddball
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