Steven L. Bressler

According to our database1, Steven L. Bressler authored at least 35 papers between 1999 and 2021.

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Bibliography

2021
Organization of areal connectivity in the monkey frontoparietal network.
NeuroImage, 2021

2020
Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality.
NeuroImage, 2020

2018
Granger-Geweke causality: Estimation and interpretation.
NeuroImage, 2018

2017
Advances in Cognitive Engineering Using Neural Networks.
Neural Networks, 2017

2015
Past Makes Future: Role of pFC in Prediction.
J. Cogn. Neurosci., 2015

2014
Spectral Methods in Neural Data Analysis: Overview.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Modeling positive Granger causality and negative phase lag between cortical areas.
NeuroImage, 2014

2012
Measuring Granger Causality between Cortical Regions from Voxelwise fMRI BOLD Signals with LASSO.
PLoS Comput. Biol., 2012

2011
Wiener-Granger Causality: A well established methodology.
NeuroImage, 2011

2010
Identifying true cortical interactions in MEG using the nulling beamformer.
NeuroImage, 2010

2009
ASEO: A Method for the Simultaneous Estimation of Single-Trial Event-Related Potentials and Ongoing Brain Activities.
IEEE Trans. Biomed. Eng., 2009

Advances in neural networks research: An introduction.
Neural Networks, 2009

Dynamics on networks: assessing functional connectivity with Granger causality.
Comput. Math. Organ. Theory, 2009

2008
Neurocognitive networks.
Scholarpedia, 2008

BSMART: A Matlab/C.
Neural Networks, 2008

Prestimulus Cortical Activity is Correlated with Speed of Visuomotor Processing.
J. Cogn. Neurosci., 2008

2007
Granger Causality between Multiple Interdependent Neurobiological Time Series: Blockwise versus Pairwise Methods.
Int. J. Neural Syst., 2007

2006
Top-Down Cortical Influences in Visual Expectation.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Empirical mode decomposition: a method for analyzing neural data.
Neurocomputing, 2005

Empirical mode decomposition of field potentials from macaque V4 in visual spatial attention.
Biol. Cybern., 2005

Coping with trial-to-trial variability of event related signals: A Bayesian inference approach.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Inferential constraint sets in the organization of visual expectation.
Neuroinformatics, 2004

2003
Temporal dynamics of attention-modulated neuronal synchronization in macaque V4.
Neurocomputing, 2003

Estimation of single-trial multicomponent ERPs: Differentially variable component analysis (dVCA).
Biol. Cybern., 2003

2002
Erratum to "Temporal dynamics of information flow in the cerebral cortex" [Neurocomputing 38-40 (2001) 1429-1435].
Neurocomputing, 2002

2001
Variability and interdependence of local field potentials: Effects of gain modulation and nonstationarity.
Neurocomputing, 2001

Temporal dynamics of information flow in the cerebral cortex.
Neurocomputing, 2001

The detection of cognitive state transitions by stability changes in event-related cortical field potentials.
Neurocomputing, 2001

Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance.
Biol. Cybern., 2001

2000
Stability constraints for oscillatory neural networks.
Neurocomputing, 2000

On the tracking of dynamic functional relations in monkey cerebral cortex.
Neurocomputing, 2000

Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment.
Biol. Cybern., 2000

Dynamical Analysis of an Oscillatory Cortical Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Investigation of cooperative cortical dynamics by multivariate autoregressive modeling of event-related local field potentials.
Neurocomputing, 1999

Coordination dynamics in large-scale cortical networks.
Proceedings of the International Joint Conference Neural Networks, 1999


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