R. Biscay

Alan C. Evans, P. Valdés-Sosa, R. Biscay, 2020, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Linear causal filtering: definition and theory

P. Achermann, T. Kinoshita, P. Faber, 2021, bioRxiv.

Measures of time series coupling based on generalized weighted multiple regression

T. Kinoshita, P. Faber, R. Pascual-Marqui, 2017, bioRxiv.

Geometric selection of centers for radial basis function approximations involved in intensive computer simulations

J. C. Jimenez, R. Biscay, J. Valdés, 1999 .

Higher Order Local Linearization Methods for Solving Stochastic Differential Equations with additive noise

J. C. Jimenez, T. Ozaki, R. Biscay, 2006 .

EEG predictability: adequacy of non-linear forecasting methods.

R Biscay, P Valdés, J L Hernández, 1995, International journal of bio-medical computing.

The infinitely many zeros of stochastic coupled oscillators driven by random forces

J. C. Jimenez, R. Biscay, H. D. L. Cruz, 2017, 1705.06598.

A class of orthogonal integrators for stochastic differential equations

J. C. Jimenez, R. Biscay, F. Carbonell, 2005 .

A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering

Tohru Ozaki, Andreas Galka, Okito Yamashita, 2004, NeuroImage.

On Fisher vector encoding of binary features for video face recognition

Luis Enrique Sucar, Heydi Mendez Vazquez, Leonardo Chang, 2018, J. Vis. Commun. Image Represent..

Brain-stem auditory evoked potentials and brain death.

P. Valdés, R. Biscay, T. Virues, 1991, Electroencephalography and clinical neurophysiology.

A Stable Numerical Scheme for Stochastic Differential Equations with Multiplicative Noise

Juan C. Jiménez, Rolando J. Biscay, Carlos M. Mora, 2013, SIAM J. Numer. Anal..

A non parametric approach for calibration with functional data

Isneri Talavera, Nathalie Villa-Vialaneix, Rolando J. Biscay, 2015 .

Nonlinear EEG analysis based on a neural mass model

Juan C. Jiménez, Rolando J. Biscay, Jorge J. Riera, 1999, Biological Cybernetics.

Multiresolution decomposition of non-stationary EEG signals: a preliminary study.

R Biscay, I Clark, M Echeverría, 1995, Computers in biology and medicine.

Distance between probability measures based on the relative operating characteristic curves

R. Biscay, R. Pascual, 1993 .

Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCoh)

Dietrich Lehmann, Norihiro Sadato, Roberto D. Pascual-Marqui, 2014, Front. Hum. Neurosci..

Unmixing EEG Inverse Solutions Based on Brain Segmentation

Rolando J. Biscay, Roberto D. Pascual-Marqui, Jorge F. Bosch-Bayard, 2018, Front. Neurosci..

Recursive penalized least squares solution for dynamical inverse problems of EEG generation

Tohru Ozaki, Andreas Galka, Okito Yamashita, 2004, Human brain mapping.

Cortical current source connectivity by means of partial coherence fields

Jorge Bosch-Bayard, Pedro A. Valdes-Sosa, Rolando J. Biscay, 2011, 1108.0251.

Dynamic properties of the local linearization method for initial-value problems

Juan C. Jiménez, Rolando J. Biscay, Carlos M. Mora, 2002, Appl. Math. Comput..

A higher order local linearization method for solving ordinary differential equations

Juan C. Jiménez, Felix Carbonell, Rolando J. Biscay, 2007, Appl. Math. Comput..

Measuring Granger-causal effects in multivariate time series by system editing

Jorge Bosch-Bayard, Rolando J. Biscay, Roberto D. Pascual-Marqui, 2018 .

Local Linearization - Runge-Kutta methods: A class of A-stable explicit integrators for dynamical systems

Juan C. Jiménez, Felix Carbonell, Rolando J. Biscay, 2012, Math. Comput. Model..

Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging

Salvador Ruiz-Correa, Alfonso Alba, Rolando J. Biscay, 2011, NeuroImage.

EEG effective connectivity during the first year of life mirrors brain synaptogenesis, myelination, and early right hemisphere predominance

Alan C. Evans, T. Fernández, T. Harmony, 2022, NeuroImage.

P17. Isolated effective coherence (iCoh) based on estimated electric neuronal activity using exact low resolution brain electromagnetic tomography (eLORETA)

R. D. Pascual-Marqui, R. J. Biscay, J. Bosch-Bayard, 2014, Clinical Neurophysiology.

Numerical solution of stochastic quantum master equations using stochastic interacting wave functions

Rolando J. Biscay, Carlos M. Mora, J. Fernández, 2017, J. Comput. Phys..

Computing the noise covariance matrix of the local linearization scheme for the numerical solution of stochastic differential equations

Rolando J. Biscay, Jorge J. Riera, L. M. Rodriguez, 1998 .

The Local Linearization Method for Numerical Integration of Random Differential Equations

Rolando J. Biscay, J. C. Jimenez, R. Biscay, 2005 .

High order local linearization methods: An approach for constructing A-stable explicit schemes for stochastic differential equations with additive noise

T. Ozaki, R. J. Biscay, F. Carbonell, 2010 .

Numerical simulation of nonlinear dynamical systems driven by commutative noise

Juan C. Jiménez, Felix Carbonell, Rolando J. Biscay, 2007, J. Comput. Phys..

Assessing interactions in the brain with exact low-resolution electromagnetic tomography

Rolando J. Biscay-Lirio, E. John, P. Anderer, 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Group Lasso Estimation of High-dimensional Covariance Matrices

Jean-Michel Loubes, Rolando J. Biscay, Jérémie Bigot, 2010, J. Mach. Learn. Res..

Testing topographic differences between event related brain potentials by using non-parametric combinations of permutation tests.

R. Biscay, L. Galán, R. Rodríguez, 1997, Electroencephalography and clinical neurophysiology.

Relevance vector machines for multivariate calibration purposes

Isneri Talavera, Noslen Hernández, Rolando J. Biscay, 2008 .

Innovations orthogonalization: a solution to the major pitfalls of EEG/MEG “leakage correction”

Jorge Bosch-Bayard, Rolando J. Biscay, Roberto D. Pascual-Marqui, 2017, bioRxiv.

Local Linearization-Runge Kutta (LLRK) Methods for Solving Ordinary Differential Equations

Juan C. Jiménez, Felix Carbonell, Rolando J. Biscay, 2006, International Conference on Computational Science.

A Functional Density-Based Nonparametric Approach for Statistical Calibration

Nathalie Villa-Vialaneix, Isneri Talavera-Bustamante, Rolando J. Biscay, 2010, CIARP.

Measuring the dissimilarity between EEG recordings through a non-linear dynamical system approach.

R Biscay, J. C. Jimenez, P. Valdés, 1995, International journal of bio-medical computing.

Support Vector Regression Methods for Functional Data

Isneri Talavera-Bustamante, Rolando J. Biscay, Noslén Hernández-González, 2007, CIARP.