World's Best Scientists 2026 revealed!
Marc M. Van Hulle

Marc M. Van Hulle

D-Index & Metrics

Computer Science

D-Index
39
Citations
5834
World Ranking
9832
National Ranking
95

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to biomedical signal processing and biological modeling

Overview

Marc M. Van Hulle is affiliated with KU Leuven in Belgium. Their research contributions primarily focus on neuroscience, with a publication record of 88 works in this area. They have specialized extensively in cognitive neuroscience, contributing 72 works to the subfield, with additional research spanning cellular and molecular neuroscience, electrical and electronic engineering, human-computer interaction, and experimental and cognitive psychology.

Their research topics encompass:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies
  • Advanced Memory and Neural Computing
  • Gaze Tracking and Assistive Technology

Marc M. Van Hulle has contributed frequently to the Journal of Neural Engineering with nine publications. Other common publication venues include:

  • Frontiers in Human Neuroscience
  • IEEE Transactions on Neural Networks and Learning Systems
  • Communications Biology
  • Biosensors

Collaborations occur regularly with several researchers, notably:

  • Benjamin Wittevrongel (11 coauthored works)
  • Elvira Khachatryan (9 coauthored works)
  • Arno Libert (8 coauthored works)
  • Valentina Pergher (8 coauthored works)
  • Evelien Carrette (6 coauthored works)

Recent selected publications include:

  • Localization of deep brain activity with scalp and subdural EEG, 2020, NeuroImage
  • Cognitive tasks propagate the neural entrainment in response to a visual 40 Hz stimulation in humans, 2022, Frontiers in Aging Neuroscience
  • Practical real-time MEG-based neural interfacing with optically pumped magnetometers, 2021, BMC Biology
  • N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors, 2020, Frontiers in Human Neuroscience
  • Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance, 2020, IEEE Transactions on Neural Networks and Learning Systems

An award received by Marc M. Van Hulle is the IEEE Fellow honor awarded in 2014 for contributions to biomedical signal processing and biological modeling.

Best Publications

  • The Delay Vector Variance Method for Detecting Determinism and Nonlinearity in Time Series

    Temujin Gautama;Danilo P. Mandic;Marc M. Van Hulle

  • A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features

    Karl Pauwels;M. Tomasi;Javier Diaz Alonso;E. Ros

  • Indications of nonlinear structures in brain electrical activity.

    Temujin Gautama;Danilo P. Mandic;Marc M. Van Hulle

  • Faithful Representations and Topographic Maps: From Distortion- to Information-Based Self-Organization

    Marc M. Van Hulle

  • Comparison of classification methods for P300 brain-computer interface on disabled subjects

    Nikolay V. Manyakov;Nikolay Chumerin;Adrien Combaz;Marc M. Van Hulle

  • Edgeworth Approximation of Multivariate Differential Entropy

    Marc M. Van Hulle

  • A differential entropy based method for determining the optimal embedding parameters of a signal

    T. Gautama;D.P. Mandic;M.M. Van Hulle

  • Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing

    Nikolay V Manyakov;Nikolay Chumerin;Arne Robben;Adrien Combaz

  • An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals

    Yili Xia;B Jelfs;M M Van Hulle;J C Principe

  • The formation of topographic maps that maximize the average mutual information of the output responses to noiseless input signals

    Marc M. Van Hulle

  • Designing a brain-computer interface controlled video-game using consumer grade EEG hardware

    Marijn van Vliet;Arne Robben;Nikolay Chumerin;Nikolay V. Manyakov

  • Kernel-based equiprobabilistic topographic map formation

    Marc M. Van Hulle

  • A novel method for determining the nature of time series

    T. Gautama;D.P. Mandic;M.M. Van Hulle

  • A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In Syndrome.

    Adrien Combaz;Camille Chatelle;Arne Robben;Gertie Vanhoof

  • ENHANCING THE YIELD OF HIGH-DENSITY ELECTRODE ARRAYS THROUGH AUTOMATED ELECTRODE SELECTION

    Gert Van Dijck;Karsten Seidl;Oliver Paul;Patrick Ruther

  • Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis

    Gert Van Dijck;Marc M. Van Hulle

  • Distinct Mechanisms for Coding of Visual Actions in Macaque Temporal Cortex

    Joris Vangeneugden;Patrick A. De Mazière;Marc M. Van Hulle;Tobias Jaeggli

  • Encoding of Categories by Noncategory-Specific Neurons in the Inferior Temporal Cortex

    Elizabeth Thomas;Marc M. Van Hulle;Rufin Vogels

  • The complex local mean decomposition

    Cheolsoo Park;David Looney;Marc M. Van Hulle;Danilo P. Mandic

  • Signal nonlinearity in fMRI: a comparison between BOLD and MION

    T. Gautama;D.P. Mandic;M.M. Van Hulle

  • Self-organizing maps

    Marc M. Van Hulle

Frequent Co-Authors

Danilo P. Mandic
Danilo P. Mandic Imperial College London
Guy A. Orban
Guy A. Orban University of Parma
Paul Boon
Paul Boon Ghent University
Evelien Carrette
Evelien Carrette Ghent University
Rufin Vogels
Rufin Vogels KU Leuven
Norbert Krüger
Norbert Krüger University of Southern Denmark
Jan Larsen
Jan Larsen Technical University of Denmark
Patrick Ruther
Patrick Ruther University of Freiburg

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