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Marcel A. J. van Gerven

Marcel A. J. van Gerven

D-Index & Metrics

Computer Science

D-Index
47
Citations
8749
World Ranking
6505
National Ranking
106

Overview

Marcel A. J. van Gerven is affiliated with Radboud University in the Netherlands. Their research spans the fields of Neuroscience and Computer Science, with a notable focus on Cognitive Neuroscience and Artificial Intelligence as prominent subfields. This interdisciplinary approach integrates elements of Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Cellular and Molecular Neuroscience.

The core topics of their work cover a range of areas within brain function and computational methods, including:

  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Functional Brain Connectivity Studies
  • Neural Networks and Applications
  • Visual perception and processing mechanisms

Van Gerven has published extensively, frequently contributing to venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Frontiers in Neuroscience
  • Radboud Repository (Radboud University)

Some of their recent papers include:

  • "Explainable Deep Learning: A Field Guide for the Uninitiated," 2022, Journal of Artificial Intelligence Research
  • "The neuroconnectionist research programme," 2023, Nature Reviews. Neuroscience
  • "Explainable Deep Learning: A Field Guide for the Uninitiated," 2020, arXiv (Cornell University)
  • "Neural dynamics of perceptual inference and its reversal during imagery," 2020, eLife
  • "Modeling, Recognizing, and Explaining Apparent Personality From Videos," 2020, IEEE Transactions on Affective Computing

Van Gerven's frequent collaborators comprise a group of researchers with whom they have worked on multiple publications, including:

  • Umut Güçlü
  • Luca Ambrogioni
  • Yağmur Güçlütürk
  • Jaap de Ruyter van Steveninck
  • Max Hinne

Best Publications

  • Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

    Umut Güçlü;Marcel A. J. van Gerven

  • The brain-computer interface cycle

    Marcel van Gerven;Jason Farquhar;Rebecca Schaefer;Rutger Vlek

  • Explainable Deep Learning: A Field Guide for the Uninitiated

    Ning Xie;Gabrielle Ras;Marcel van Gerven;Derek Doran

  • Shared Neural Mechanisms of Visual Perception and Imagery.

    Nadine Dijkstra;Sander E. Bosch;Marcel A.J. van Gerven

  • Artificial Neural Networks as Models of Neural Information Processing

    Marcel van Gerven;Sander Bohte

  • Vividness of visual imagery depends on the neural overlap with perception in visual areas

    Nadine Dijkstra;Sander E. Bosch;Marcel A.J. van Gerven

  • Editorial: Artificial Neural Networks as Models of Neural Information Processing.

    Marcel van Gerven;Sander M. Bohté

  • Explanation methods in deep learning: Users, values, concerns and challenges

    Gabriëlle Ras;Marcel van Gerven;Pim Haselager

  • Identifying Object Categories from Event-Related EEG: Toward Decoding of Conceptual Representations

    Irina Simanova;Marcel van Gerven;Robert Oostenveld;Peter Hagoort

  • Attention modulations of posterior alpha as a control signal for two-dimensional brain-computer interfaces

    Marcel van Gerven;Ole Jensen

  • Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks.

    Umut Güçlü;Marcel A. J. van Gerven

  • Linear reconstruction of perceived images from human brain activity

    Sanne Schoenmakers;Markus Barth;Tom Heskes;Marcel van Gerven

  • Dynamic Bayesian networks as prognostic models for clinical patient management

    Marcel A. J. van Gerven;Babs G. Taal;Peter J. F. Lucas

  • Increasingly complex representations of natural movies across the dorsal stream are shared between subjects

    Umut Güçlü;Marcel A.J. van Gerven

  • Modality-Independent Decoding of Semantic Information from the Human Brain

    Irina Simanova;Peter Hagoort;Peter Hagoort;Robert Oostenveld;Marcel A. J. van Gerven

  • Measuring directionality between neuronal oscillations of different frequencies.

    Haiteng Jiang;Ali Bahramisharif;Marcel A.J. van Gerven;Ole Jensen

  • Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention

    Matthias S Treder;Ali Bahramisharif;Nico M Schmidt;Marcel A J van Gerven

  • Differential temporal dynamics during visual imagery and perception

    Nadine Dijkstra;Pim Mostert;Floris P de Lange;Sander Bosch

  • Iconic and multi-stroke gesture recognition

    Don Willems;Ralph Niels;Marcel van Gerven;Louis Vuurpijl

  • Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior

    Marcel A.J. van Gerven;Botond Cseke;Floris P. de Lange;Tom Heskes

Frequent Co-Authors

Tom Heskes
Tom Heskes Radboud University
Ole Jensen
Ole Jensen University of Oxford
Sergio Escalera
Sergio Escalera University of Barcelona
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Floris P. de Lange
Floris P. de Lange Radboud University
Peter J. F. Lucas
Peter J. F. Lucas University of Twente
Robert Oostenveld
Robert Oostenveld Radboud University
Marius V. Peelen
Marius V. Peelen Radboud University
Peter Hagoort
Peter Hagoort Max Planck Institute for Psycholinguistics

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