M. Dyrholm

发表

Signal Processing and Machine Learning for Single-trial Analysis of Simultaneously Acquired EEG and fMRI

Paul Sajda, Robin I. Goldman, Mads Dyrholm, 2010 .

Signal Processing and Machine Learning for Single-trial Analysis of Simultaneously Acquired EEG and fMRI

Paul Sajda, Robin I. Goldman, Mads Dyrholm, 2010 .

Neural correlates of age-related decline and compensation in visual attention capacity

H. Müller, C. Bundesen, Thomas Töllner, 2014, Neurobiology of Aging.

Visual attention capacity parameters covary with hemifield alignment

Claus Bundesen, Norbert Kathmann, Søren Kyllingsbæk, 2013, Neuropsychologia.

Beyond trial types

C. Bundesen, S. Vangkilde, M. Dyrholm, 2014, Psychological research.

Ieee Signal Processing Magazine, Accepted for Publication, August 2007 Spatio-temporal Linear Decoding of Brain State: Application to Performance Augmentation in High-throughput Tasks

L. Parra, P. Sajda, M. Philiastides, 2022 .

Single‐Trial Inference on Visual Attention

Claus Bundesen, Signe Vangkilde, Thomas Habekost, 2011 .

Identifying bottom-up and top-down components of attentional weight by experimental analysis and computational modeling.

C. Bundesen, M. Dyrholm, M. Nordfang, 2013, Journal of experimental psychology. General.

Brain signatures of reward-dependent bias in visual attention

C. Bundesen, Anders Petersen, M. Dyrholm, 2014 .

Beyond trial types

C. Bundesen, S. Vangkilde, M. Dyrholm, 2014, Psychological research.

Convolutive ICA (c-ICA) captures complex spatio-temporal EEG activity

Lars Kai Hansen, Lars Arendt-Nielsen, Andrew C. N. Chen, 2004 .

Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG

Lars Kai Hansen, Scott Makeig, Mads Dyrholm, 2007, Neural Computation.

Independent Component Analysis in a convoluted world

Lars Kai Hansen, Mads Dyrholm, L. K. Hansen, 2006 .

Convolutive ICA for Spatio-Temporal Analysis of EEG

Lars Kai Hansen, Scott Makeig, L. K. Hansen, 2005 .

Generalizing parametric models by introducing trial-by-trial parameter variability: The case of TVA

Claus Bundesen, Søren Kyllingsbæk, Thomas Espeseth, 2011 .

TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure

Lars T. Westlye, Anders Petersen, Thomas Espeseth, 2014, Front. Psychol..

Distinct neural markers of TVA-based visual processing speed and short-term storage capacity parameters.

Kathrin Finke, Thomas Töllner, Thomas Habekost, 2014, Cerebral cortex.

Attentional priorities and access to short-term memory: Parietal interactions

Ronald R. Peeters, Mads Dyrholm, Søren Kyllingsbæk, 2012, NeuroImage.

Bilinear Discriminant Component Analysis

Lucas C. Parra, Christoforos Christoforou, Mads Dyrholm, 2007, J. Mach. Learn. Res..

Computationally Efficient Fixed-Filter ANC for Speech Based on Long-Term Prediction for Headphone Applications

Sidsel Marie Nørholm, M. Dyrholm, V. Belyi, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cortically coupled computer vision with Emotiv headset using distractor variables

Thomas Ousterhout, Mads Dyrholm, M. Dyrholm, 2013, 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).

Smooth bilinear classification of EEG

Lucas C. Parra, Mads Dyrholm, L. Parra, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

TMS Over the Right Precuneus Reduces the Bilateral Field Advantage in Visual Short Term Memory Capacity

Claus Bundesen, Christian Kaufmann, Norbert Kathmann, 2015, Brain Stimulation.

Spatiotemporal Linear Decoding of Brain State

P. Sajda, An Luo, L.C. Parra, 2008, IEEE Signal Processing Magazine.

Journal of Experimental Psychology : General Identifying Bottom-Up and Top-Down Components of Attentional Weight by Experimental Analysis and Computational Modeling

C. Bundesen, M. Dyrholm, M. Nordfang, 2012 .

Removal of BCG Artifacts Using a Non-Kirchhoffian Overcomplete Representation

Paul Sajda, Mads Dyrholm, Robin Goldman, 2009, IEEE Transactions on Biomedical Engineering.

A prediction matrix approach to convolutive ICA

Lars Kai Hansen, Mads Dyrholm, M. Dyrholm, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).