Employing Maximum Mutual Information for Bayesian Classification. - Marcel van Gerven; Peter J. F. Lucas (ISBMDA, 2004)

Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. - Marcel van Gerven; Peter J. F. Lucas (SGAI Conf., 2004)

Guidelines for Probabilistic Model Qualification. - Marcel van Gerven (BNAIC, 2005)

A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. - Marcel van Gerven; Peter J. F. Lucas; Theo P. van der Weide (ECSQARU, 2005)

Selecting Strategies for Infinite-Horizon Dynamic LIMIDS. - Marcel van Gerven; Francisco Javier Díez 001 (Probabilistic Graphical Models, 2006)

Selecting treatment strategies with dynamic limited-memory influence diagrams. - Marcel van Gerven; Francisco Javier Díez 001; Babs G. Taal; Peter J. F. Lucas (Artif. Intell. Medicine, 2007)

Predicting carcinoid heart disease with the noisy-threshold classifier. - Marcel van Gerven; Rasa Jurgelenaite; Babs G. Taal; Tom Heskes; Peter J. F. Lucas (Artif. Intell. Medicine, 2007)

A generic qualitative characterization of independence of causal influence. - Marcel van Gerven; Peter J. F. Lucas; Theo P. van der Weide (Int. J. Approx. Reason., 2008)

Dynamic Bayesian networks as prognostic models for clinical patient management. - Marcel van Gerven; Babs G. Taal; Peter J. F. Lucas (J. Biomed. Informatics, 2008)

Exploring the impact of alternative feature representations on BCI classification. - Ali Bahramisharif; Marcel van Gerven; Tom Heskes (ESANN, 2009)

Bayesian Source Localization with the Multivariate Laplace Prior. - Marcel van Gerven; Botond Cseke; Robert Oostenveld; Tom Heskes (NIPS, 2009)

Interpreting single trial data using groupwise regularisation. - Marcel van Gerven; Christian Hesse; Ole Jensen; Tom Heskes (NeuroImage, 2009)

Selecting features for BCI control based on a covert spatial attention paradigm. - Marcel van Gerven; Ali Bahramisharif; Tom Heskes; Ole Jensen (Neural Networks, 2009)

Iconic and multi-stroke gesture recognition. - Don Willems; Ralph Niels; Marcel van Gerven; Louis Vuurpijl (Pattern Recognit., 2009)

Neural Decoding with Hierarchical Generative Models. - Marcel van Gerven; Floris P. de Lange; Tom Heskes (Neural Comput., 2010)

Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior. - Marcel A. J. van Gerven; Botond Cseke; Floris P. de Lange; Tom Heskes (NeuroImage, 2010)

Design Issues for Pen-Centric Interactive Maps. - Louis Vuurpijl; Don Willems; Ralph Niels; Marcel van Gerven (Interactive Collaborative Information Systems, 2010)

A Markov Random Field Approach to Neural Encoding and Decoding. - Marcel van Gerven; Eric Maris; Tom Heskes (ICANN (2), 2011)

The Dynamic Beamformer. - Ali Bahramisharif; Marcel A. J. van Gerven; Jan-Mathijs Schoffelen; Zoubin Ghahramani; Tom Heskes (MLINI, 2011)

Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing. - Hans J. P. Wouters; Marcel A. J. van Gerven; Matthias Sebastian Treder; Tom Heskes; Ali Bahramisharif (MLINI, 2011)

Dynamic decoding of ongoing perception. - Marcel van Gerven; Peter Kok; Floris P. de Lange; Tom Heskes (NeuroImage, 2011)

On the use of interaction error potentials for adaptive brain computer interfaces. - Alberto Llera; Marcel A. J. van Gerven; Vicenç Gómez; Ole Jensen; Hilbert J. Kappen (Neural Networks, 2011)

A Linear Gaussian Framework for Decoding of Perceived Images. - Marcel A. J. van Gerven; Tom Heskes (PRNI, 2012)

Bayesian Sparse Partial Least Squares. - Diego Vidaurre; Marcel A. J. van Gerven; Concha Bielza; Pedro Larrañaga; Tom Heskes (Neural Comput., 2013)

Decoding the memorization of individual stimuli with direct human brain recordings. - Marcel A. J. van Gerven; Eric Maris; Michael R. Sperling; Ashwini Sharan; Brian Litt; Christopher Anderson; Gordon Baltuch; Joshua Jacobs (NeuroImage, 2013)

Bayesian inference of structural brain networks. - Max Hinne; Tom Heskes; Christian F. Beckmann; Marcel A. J. van Gerven (NeuroImage, 2013)

MEG-based decoding of the spatiotemporal dynamics of visual category perception. - Marieke E. van de Nieuwenhuijzen; A. R. Backus; Ali Bahramisharif; Christian F. Doeller; Ole Jensen; Marcel A. J. van Gerven (NeuroImage, 2013)

Linear reconstruction of perceived images from human brain activity. - Sanne Schoenmakers; Markus Barth; Tom Heskes; Marcel van Gerven (NeuroImage, 2013)

Gaussian mixture models improve fMRI-based image reconstruction. - Sanne Schoenmakers; Marcel van Gerven; Tom Heskes (PRNI, 2014)

Quantifying uncertainty in brain network measures using Bayesian connectomics. - Ronald J. Janssen; Max Hinne; Tom Heskes; Marcel A. J. van Gerven (Frontiers Comput. Neurosci., 2014)

Gaussian mixture models and semantic gating improve reconstructions from human brain activity. - Sanne Schoenmakers; Umut Güçlü; Marcel van Gerven; Tom Heskes (Frontiers Comput. Neurosci., 2014)

Structurally-informed Bayesian functional connectivity analysis. - Max Hinne; Luca Ambrogioni; Ronald J. Janssen; Tom Heskes; Marcel A. J. van Gerven (NeuroImage, 2014)

Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images. - Umut Güçlü; Marcel A. J. van Gerven (PLoS Comput. Biol., 2014)

Hidden Markov Models for Reading Words from the Human Brain. - Sanne Schoenmakers; Tom Heskes; Marcel van Gerven (PRNI, 2015)

Predicting psychological attributions from face photographs with a deep neural network. - Edward Grant; Stephan Sahm; Mariam Zabihi; Marcel van Gerven (CoRR, 2015)

Spreading Codes Enables the Blind Estimation of the Hemodynamic Response with Short-Events Sequences. - Miguel Angel Lopez-Gordo; Daniel Sánchez Morillo; Marcel A. J. van Gerven (Int. J. Neural Syst., 2015)

Modality-specific Alpha Modulations Facilitate Long-term Memory Encoding in the Presence of Distracters. - Haiteng Jiang; Marcel A. J. van Gerven; Ole Jensen (J. Cogn. Neurosci., 2015)

Predicting the Semantic Category of Internally Generated Words from Neuromagnetic Recordings. - Irina Simanova; Marcel A. J. van Gerven; Robert Oostenveld; Peter Hagoort (J. Cogn. Neurosci., 2015)

Probabilistic model-based functional parcellation reveals a robust, fine-grained subdivision of the striatum. - Ronald J. Janssen; P. Jylänki; Roy P. C. Kessels; Marcel A. J. van Gerven (NeuroImage, 2015)

Measuring directionality between neuronal oscillations of different frequencies. - Haiteng Jiang; Ali Bahramisharif; Marcel A. J. van Gerven; Ole Jensen (NeuroImage, 2015)

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates. - Max Hinne; Ronald J. Janssen; Tom Heskes; Marcel A. J. van Gerven (PLoS Comput. Biol., 2015)

Deep Disentangled Representations for Volumetric Reconstruction. - Edward Grant; Pushmeet Kohli; Marcel van Gerven (ECCV Workshops (3), 2016)

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. - Yagmur Güçlütürk; Umut Güçlü; Marcel A. J. van Gerven; Rob van Lier (ECCV Workshops (3), 2016)

Convolutional Sketch Inversion. - Yagmur Güçlütürk; Umut Güçlü; Rob van Lier; Marcel A. J. van Gerven (ECCV Workshops (1), 2016)

Predicting and visualizing psychological attributions with a deep neural network. - Edward Grant; Stephan Sahm; Mariam Zabihi; Marcel van Gerven (ICPR, 2016)

Brains on Beats. - Umut Güçlü; Jordy Thielen; Michael Hanke; Marcel van Gerven; Marcel A. J. van Gerven (NIPS, 2016)

Brains on Beats. - Umut Güçlü; Jordy Thielen; Michael Hanke; Marcel van Gerven; Marcel A. J. van Gerven (NIPS, 2016)

Preference for Audiovisual Speech Congruency in Superior Temporal Cortex. - Claudia S. Lüttke; Matthias Ekman; Marcel A. J. van Gerven; Floris P. de Lange (J. Cogn. Neurosci., 2016)

Decoding of task-relevant and task-irrelevant intracranial EEG representations. - Marieke E. van de Nieuwenhuijzen; Nikolai Axmacher; Jürgen Fell; Carina Renate Oehrn; Ole Jensen; Marcel van Gerven (NeuroImage, 2016)

Visualizing Apparent Personality Analysis with Deep Residual Networks. - Yagmur Güçlütürk; Umut Güçlü; Marc Pérez; Hugo Jair Escalante; Xavier Baró; Carlos Andújar; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Sergio Escalera; Marcel A. J. van Gerven; Rob van Lier (ICCV Workshops, 2017)

Design of an explainable machine learning challenge for video interviews. - Hugo Jair Escalante; Isabelle Guyon; Sergio Escalera; Júlio C. S. Jacques Júnior; Meysam Madadi; Xavier Baró; Stéphane Ayache; Evelyne Viegas; Yagmur Güçlütürk; Umut Güçlü; Marcel A. J. van Gerven; Rob van Lier (IJCNN, 2017)

GP CaKe: Effective brain connectivity with causal kernels. - Luca Ambrogioni; Max Hinne; Marcel van Gerven; Eric Maris (NIPS, 2017)

Reconstructing perceived faces from brain activations with deep adversarial neural decoding. - Yagmur Güçlütürk; Umut Güçlü; Katja Seeliger; Sander E. Bosch; Rob van Lier; Marcel A. J. van Gerven (NIPS, 2017)

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks. - Umut Güçlü; Yagmur Güçlütürk; Meysam Madadi; Sergio Escalera; Xavier Baró; Jordi Gonzàlez 001; Rob van Lier; Marcel A. J. van Gerven (CoRR, 2017)

Deep adversarial neural decoding. - Yagmur Güçlütürk; Umut Güçlü; Katja Seeliger; Sander E. Bosch; Rob van Lier; Marcel van Gerven (CoRR, 2017)

Computational Foundations of Natural Intelligence. - Marcel van Gerven (Frontiers Comput. Neurosci., 2017)

Editorial: Artificial Neural Networks as Models of Neural Information Processing. - Marcel van Gerven; Sander M. Bohté (Frontiers Comput. Neurosci., 2017)

Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks. - Umut Güçlü; Marcel A. J. van Gerven (Frontiers Comput. Neurosci., 2017)

Increasingly complex representations of natural movies across the dorsal stream are shared between subjects. - Umut Güçlü; Marcel A. J. van Gerven (NeuroImage, 2017)

Dynamic decomposition of spatiotemporal neural signals. - Luca Ambrogioni; Marcel A. J. van Gerven; Eric Maris (PLoS Comput. Biol., 2017)

The missing link: Predicting connectomes from noisy and partially observed tract tracing data. - Max Hinne; Annet Meijers; Rembrandt Bakker; Paul H. E. Tiesinga; Morten Mørup; Marcel A. J. van Gerven (PLoS Comput. Biol., 2017)

Wasserstein Variational Inference. - Luca Ambrogioni; Umut Güçlü; Yagmur Güçlütürk; Max Hinne; Marcel A. J. van Gerven; Eric Maris (NeurIPS, 2018)

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. - Hugo Jair Escalante; Heysem Kaya; Albert Ali Salah; Sergio Escalera; Yagmur Güçlütürk; Umut Güçlü; Xavier Baró; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Stéphane Ayache; Evelyne Viegas; et al. (CoRR, 2018)

Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability. - Marjolein Troost; Katja Seeliger; Marcel van Gerven (CoRR, 2018)

Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges. - Gabrielle Ras; Marcel van Gerven; Pim Haselager (CoRR, 2018)

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. - Júlio C. S. Jacques Júnior; Yagmur Güçlütürk; Marc Pérez; Umut Güçlü; Carlos Andújar; Xavier Baró; Hugo Jair Escalante; Isabelle Guyon; Marcel A. J. van Gerven; Rob van Lier; Sergio Escalera (CoRR, 2018)

Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference. - Luca Ambrogioni; Umut Güçlü; Yagmur Güçlütürk; Marcel van Gerven (CoRR, 2018)

New advances in encoding and decoding of brain signals. - Chris I. Baker; Marcel van Gerven (NeuroImage, 2018)

Convolutional neural network-based encoding and decoding of visual object recognition in space and time. - Katja Seeliger; M. Fritsche; Umut Güçlü; Sanne Schoenmakers; Jan-Mathijs Schoffelen; Sander E. Bosch; Marcel van Gerven (NeuroImage, 2018)

Generative adversarial networks for reconstructing natural images from brain activity. - Katja Seeliger; Umut Güçlü; Luca Ambrogioni; Yagmur Güçlütürk; Marcel A. J. van Gerven (NeuroImage, 2018)

Multimodal First Impression Analysis with Deep Residual Networks. - Yagmur Güçlütürk; Umut Güçlü; Xavier Baró; Hugo Jair Escalante; Isabelle Guyon; Sergio Escalera; Marcel A. J. van Gerven; Rob van Lier (IEEE Trans. Affect. Comput., 2018)

Simulating neuroprosthetic vision for emotion recognition. - Caroline J. M. Bollen; Umut Güçlü; Richard J. A. van Wezel; Marcel A. J. van Gerven; Yagmur Güçlütürk (ACII Workshops, 2019)

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity. - Luca Ambrogioni; Patrick Ebel 002; Max Hinne; Umut Güçlü; Marcel van Gerven; Eric Maris (AISTATS, 2019)

Forward Amortized Inference for Likelihood-Free Variational Marginalization. - Luca Ambrogioni; Umut Güçlü; Julia Berezutskaya; Eva W. P. van den Borne; Yagmur Güçlütürk; Max Hinne; Eric Maris; Marcel van Gerven (AISTATS, 2019)

Temporal Factorization of 3D Convolutional Kernels. - Gabrielle Ras; Luca Ambrogioni; Umut Güçlü; Marcel van Gerven (BNAIC/BENELEARN, 2019)

The functional role of cue-driven feature-based feedback in object recognition. - Sushrut Thorat; Marcel van Gerven; Marius V. Peelen (CoRR, 2019)

k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport. - Luca Ambrogioni; Umut Güçlü; Marcel van Gerven (CoRR, 2019)

Modulation of early visual processing alleviates capacity limits in solving multiple tasks. - Sushrut Thorat; Giacomo Aldegheri; Marcel A. J. van Gerven; Marius V. Peelen (CoRR, 2019)

Causal inference using Bayesian non-parametric quasi-experimental design. - Max Hinne; Marcel A. J. van Gerven; Luca Ambrogioni (CoRR, 2019)

Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks. - Gabriëlle Ras; Ron Dotsch; Luca Ambrogioni; Umut Güçlü; Marcel A. J. van Gerven (CoRR, 2019)

Eye movements explain decodability during perception and cued attention in MEG. - Silvan C. Quax; Nadine Dijkstra; Mariel J. van Staveren; Sander E. Bosch; Marcel A. J. van Gerven (NeuroImage, 2019)

Current Advances in Neural Decoding. - Marcel A. J. van Gerven; Katja Seeliger; Umut Güçlü; Yagmur Güçlütürk (Explainable AI, 2019)

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. - Cansu Sancaktar; Marcel A. J. van Gerven; Pablo Lanillos (ICDL-EPIROB, 2020)

Virtual Staining for Mitosis Detection in Breast Histopathology. - Caner Mercan; G. C. A. M. Mooij; David Tellez; Johannes Lotz 002; Nick Weiss; Marcel van Gerven; Francesco Ciompi (ISBI, 2020)

A Deep Active Inference Model of the Rubber-Hand Illusion. - Thomas Rood; Marcel van Gerven; Pablo Lanillos (IWAI, 2020)

GAIT-prop: A biologically plausible learning rule derived from backpropagation of error. - Nasir Ahmad; Marcel A. J. van Gerven; Luca Ambrogioni (NeurIPS, 2020)

The Indian Chefs Process. - Patrick Dallaire; Luca Ambrogioni; Ludovic Trottier; Umut Güçlü; Max Hinne; Philippe Giguère; Marcel van Gerven; François Laviolette (UAI, 2020)

The Indian Chefs Process. - Patrick Dallaire; Luca Ambrogioni; Ludovic Trottier; Umut Güçlü; Max Hinne; Philippe Giguère; Brahim Chaib-draa; Marcel van Gerven; François Laviolette (CoRR, 2020)

Automatic structured variational inference. - Luca Ambrogioni; Max Hinne; Marcel van Gerven (CoRR, 2020)

Spike-Timing-Dependent Inference of Synaptic Weights. - Nasir Ahmad; Luca Ambrogioni; Marcel A. J. van Gerven (CoRR, 2020)

Virtual staining for mitosis detection in Breast Histopathology. - Caner Mercan; Germonda Reijnen-Mooij; David Tellez Martin; Johannes Lotz 002; Nick Weiss; Marcel van Gerven; Francesco Ciompi (CoRR, 2020)

Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations. - Gabriëlle Ras; Luca Ambrogioni; Pim Haselager; Marcel A. J. van Gerven; Umut Güçlü (CoRR, 2020)

Validation of structural brain connectivity networks: The impact of scanning parameters. - Karen Sandø Ambrosen; Simon F. Eskildsen; Max Hinne; Kristine Krug; Henrik Lundell; Mikkel N. Schmidt; Marcel A. J. van Gerven; Morten Mørup; Tim B. Dyrby (NeuroImage, 2020)

Brain-optimized extraction of complex sound features that drive continuous auditory perception. - Julia Berezutskaya; Zachary Freudenburg; Umut Güçlü; Marcel A. J. van Gerven; Nick F. Ramsey (PLoS Comput. Biol., 2020)

Classifying sex and strain from mouse ultrasonic vocalizations using deep learning. - Alexander Ivanenko; Paul V. Watkins; Marcel A. J. van Gerven; K. Hammerschmidt; Bernhard Englitz (PLoS Comput. Biol., 2020)

Automatic structured variational inference. - Luca Ambrogioni; Kate Lin; Emily Fertig; Sharad Vikram; Max Hinne; Dave Moore; Marcel van Gerven (AISTATS, 2021)

Automatic variational inference with cascading flows. - Luca Ambrogioni; Gianluigi Silvestri; Marcel van Gerven (ICML, 2021)

Scaling up learning with GAIT-prop. - Sander Dalm; Nasir Ahmad; Luca Ambrogioni; Marcel van Gerven (CoRR, 2021)

Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception. - Pablo Lanillos; Marcel van Gerven (CoRR, 2021)

Brain-inspired Learning Drives Advances in Neuromorphic Computing. - Nasir Ahmad; Bodo Rueckauer; Marcel van Gerven (ERCIM News, 2021)

Detecting neural state transitions underlying event segmentation. - Linda Geerligs; Marcel van Gerven; Umut Güçlü (NeuroImage, 2021)

End-to-end neural system identification with neural information flow. - Katja Seeliger; Luca Ambrogioni; Yagmur Güçlütürk; L. M. van den Bulk; Umut Güçlü; Marcel A. J. van Gerven (PLoS Comput. Biol., 2021)

Towards Naturalistic Speech Decoding from Intracranial Brain Data. - Julia Berezutskaya; Luca Ambrogioni; Nick F. Ramsey; Marcel A. J. van Gerven (EMBC, 2022)

Experiencing Prosthetic Vision with Event-Based Sensors. - Bodo Rueckauer; Marcel van Gerven (ICONS, 2022)

Learning Policies for Continuous Control via Transition Models. - Justus F. Hübotter; Serge Thill; Marcel van Gerven; Pablo Lanillos (IWAI, 2022)

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization. - Burcu Küçükoglu; Walraaf Borkent; Bodo Rueckauer; Nasir Ahmad; Umut Güçlü; Marcel van Gerven (CoRR, 2022)

Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning. - Burcu Küçükoglu; Bodo Rueckauer; Nasir Ahmad; Jaap de Ruyter van Steveninck; Umut Güçlü; Marcel van Gerven (Int. J. Neural Syst., 2022)

Explainable Deep Learning: A Field Guide for the Uninitiated. - Gabrielle Ras; Ning Xie 009; Marcel van Gerven; Derek Doran (J. Artif. Intell. Res., 2022)

Predictive coding is a consequence of energy efficiency in recurrent neural networks. - Abdullahi Ali; Nasir Ahmad; Elgar de Groot; Marcel A. J. van Gerven; Tim Christian Kietzmann (Patterns, 2022)

Modeling, Recognizing, and Explaining Apparent Personality From Videos. - Hugo Jair Escalante; Heysem Kaya; Albert Ali Salah; Sergio Escalera; Yagmur Güçlütürk; Umut Güçlü; Xavier Baró; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Stéphane Ayache; Evelyne Viegas; et al. (IEEE Trans. Affect. Comput., 2022)

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. - Júlio C. S. Jacques Júnior; Yagmur Güçlütürk; Marc Pérez; Umut Güçlü; Carlos Andújar; Xavier Baró; Hugo Jair Escalante; Isabelle Guyon; Marcel A. J. van Gerven; Rob van Lier; Sergio Escalera (IEEE Trans. Affect. Comput., 2022)

A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. - Hasan Mohamed; Bogdan C. Raducanu; Ilya Kiselev; Zuowen Wang; Burcu Küçükoglu; Bodo Rueckauer; Marcel van Gerven; Carolina Mora Lopez; Shih-Chii Liu (BioCAS, 2023)

Effective Learning with Node Perturbation in Deep Neural Networks. - Sander Dalm; Marcel van Gerven; Nasir Ahmad (CoRR, 2023)

Constrained Parameter Inference as a Principle for Learning. - Nasir Ahmad; Ellen Schrader; Marcel van Gerven (Trans. Mach. Learn. Res., 2023)

Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks. - Sander Dalm; Nasir Ahmad; Luca Ambrogioni; Marcel van Gerven (Trans. Mach. Learn. Res., 2023)

Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems. - Mahyar Shahsavari; David B. Thomas; Marcel van Gerven; Andrew D. Brown; Wayne Luk (Array, 2023)

Analytical Characterization of Epileptic Dynamics in a Bistable System. - Yuzhen Qin; Ahmed ElGazzar; Danielle S. Bassett; Fabio Pasqualetti; Marcel van Gerven (CDC, 2024)

MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity. - Lynn Le; Paolo Papale; Katja Seeliger; Antonio Lozano; Thirza Dado; Feng Wang; Pieter R. Roelfsema; Marcel A. J. van Gerven; Yagmur Güçlütürk; Umut Güçlü (NeurIPS, 2024)

Universal Differential Equations as a Common Modeling Language for Neuroscience. - Ahmed ElGazzar; Marcel van Gerven (CoRR, 2024)

Efficient Deep Learning with Decorrelated Backpropagation. - Sander Dalm; Joshua Offergeld; Nasir Ahmad; Marcel van Gerven (CoRR, 2024)

Gradient-Free Training of Recurrent Neural Networks using Random Perturbations. - Jesús García Fernández; Sander W. Keemink; Marcel van Gerven (CoRR, 2024)

Subspace Node Pruning. - Joshua Offergeld; Marcel van Gerven; Nasir Ahmad (CoRR, 2024)

Discovering Dynamic Symbolic Policies with Genetic Programming. - Sigur de Vries; Sander W. Keemink; Marcel van Gerven (CoRR, 2024)

Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs. - Marzieh Hassanshahi Varposhti; Mahyar Shahsavari; Marcel van Gerven (CoRR, 2024)

Foragax: An Agent-Based Modelling Framework Based on JAX. - Siddharth Chaturvedi; Ahmed ElGazzar; Marcel van Gerven (CoRR, 2024)

Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines. - Jesús García Fernández; Nasir Ahmad; Marcel van Gerven (CoRR, 2024)

Modeling and Detection of Critical Slowing Down in Epileptic Dynamics. - Yuzhen Qin; Marcel van Gerven (CoRR, 2024)

Fractional Order Distributed Optimization. - Andrei Lixandru; Marcel van Gerven; Sergio Pequito (CoRR, 2024)

Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations. - Ahmed ElGazzar; Marcel van Gerven (CoRR, 2024)

Noise-based Local Learning using Stochastic Magnetic Tunnel Junctions. - Kees Koenders; Leo Schnitzpan; Fabian Kammerbauer; Sinan Shu; Gerhard Jakob; Mathis Kläui; Johan Mentink; Nasir Ahmad; Marcel van Gerven (CoRR, 2024)

Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain. - Thirza Dado; Paolo Papale; Antonio Lozano; Lynn Le; Feng Wang; Marcel van Gerven; Pieter R. Roelfsema; Yagmur Güçlütürk; Umut Güçlü (PLoS Comput. Biol., 2024)

Oscillations in an artificial neural network convert competing inputs into a temporal code. - Katharina Duecker; Marco Idiart; Marcel van Gerven; Ole Jensen (PLoS Comput. Biol., 2024)

Synchronization and Control in Bistable Oscillator Networks: Towards Epilepsy Regulation. - Zonglin Liu; Yuzhen Qin; Marcel van Gerven; Olaf Stursberg (IEEE Control. Syst. Lett., 2025)

Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning. - Melda Yeghaian; Zuhir Bodalal; Daan van den Broek; John B. A G. Haanen; Regina G. H. Beets-Tan; Stefano Trebeschi; Marcel A. J. van Gerven (J. Am. Medical Informatics Assoc., 2025)

Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes. - Feyisayo Olalere; Kiki van der Heijden; Christiaan H. Stronks; Jeroen J. Briaire; Johan H. M. Frijns; Marcel van Gerven (CoRR, 2025)

Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning. - Burcu Küçükoglu; Sander Dalm; Marcel van Gerven (CoRR, 2025)

Kozax: Flexible and Scalable Genetic Programming in JAX. - Sigur de Vries; Sander W. Keemink; Marcel A. J. van Gerven (CoRR, 2025)

Probabilistic Forecasting via Autoregressive Flow Matching. - Ahmed ElGazzar; Marcel van Gerven (CoRR, 2025)

Noise-based reward-modulated learning. - Jesús García Fernández; Nasir Ahmad; Marcel van Gerven (CoRR, 2025)

Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning. - David Leeftink; Çagatay Yildiz; Steffen Ridderbusch; Max Hinne; Marcel van Gerven (CoRR, 2025)

General-purpose audio representation learning for real-world sound scenes. - Goksenin Yuksel; Marcel van Gerven; Kiki van der Heijden (CoRR, 2025)

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series. - Amirhossein Sadough; Mahyar Shahsavari; Mark Wijtvliet; Marcel van Gerven (CoRR, 2025)

Spiking neurons as predictive controllers of linear systems. - Paolo Agliati; André Urbano; Pablo Lanillos; Nasir Ahmad; Marcel van Gerven; Sander W. Keemink (CoRR, 2025)