Trajectory Effects in a Novel Serial Reaction Time Task. - George Kachergis; Floris Berends; Roy De Kleijn; Bernhard Hommel (CogSci, 2014)

Reward effects on sequential action learning in a trajectory serial reaction time task. - George Kachergis; Roy De Kleijn; Floris Berends; Bernhard Hommel (ICDL-EPIROB, 2014)

Everyday robotic action: lessons from human action control. - Roy De Kleijn; George Kachergis; Bernhard Hommel (Frontiers Neurorobotics, 2014)

Human Reinforcement Learning of Sequential Action. - George Kachergis; Floris Berends; Roy De Kleijn; Bernhard Hommel (CogSci, 2016)

A Dream Model: Reactivation and Re-encoding Mechanisms for Sleep-dependent Memory Consolidation. - George Kachergis; Roy De Kleijn; Bernhard Hommel (CogSci, 2016)

IQ and working memory predict plan-based sequential action learning. - Roy De Kleijn; George Kachergis; Bernhard Hommel (CogSci, 2018)

Optimized behavior in a robot model of sequential action. - Roy De Kleijn; George Kachergis; Bernhard Hommel (CogSci, 2018)

Anthropomorphization of artificial agents leads to fair and strategic, but not altruistic behavior. - Roy De Kleijn; Lisa van Es; George Kachergis; Bernhard Hommel (Int. J. Hum. Comput. Stud., 2019)

The effect of context-dependent information and sentence constructions on perceived humanness of an agent in a Turing test. - Roy De Kleijn; Marjolijn N. Wijnen; Fenna Poletiek (Knowl. Based Syst., 2019)

Evolving Virtual Embodied Agents Using External Artifact Evaluations. - Lesley van Hoek; Rob Saunders; Roy De Kleijn (BNAIC/BENELEARN (Selected Papers), 2020)

Permutation Entropy as a Universal Disorder Criterion: How Disorders at Different Scale Levels Are Manifestations of the Same Underlying Principle. - Rutger Goekoop; Roy De Kleijn (Entropy, 2021)

Need for Structure and the Emergence of Communication. - Tom Kouwenhoven; Roy De Kleijn; Stephan Raaijmakers; Tessa Verhoef (CogSci, 2022)

Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution. - Tom Kouwenhoven; Tessa Verhoef; Roy De Kleijn; Stephan Raaijmakers (Frontiers Artif. Intell., 2022)

A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm. - Roy De Kleijn; Deniz Sen; George Kachergis (Top. Cogn. Sci., 2022)

Modeling Human Sequential Behavior with Deep Neural Networks in Emergent Communication. - Tom Kouwenhoven; Tessa Verhoef; Stephan Raaijmakers; Roy De Kleijn (CogSci, 2023)

Behavioral Optimization in a Robotic Serial Reaching Task Using Predictive Information. - Deniz Sen; Roy De Kleijn; George Kachergis (IEEE Trans. Cogn. Dev. Syst., 2023)

Behavioral-economic Games with Commercially Available Robots. - Roy De Kleijn; Avantika Dev; Sumitava Mukherjee (HRI (Companion), 2024)

Memory-Augmented Generative Adversarial Transformers. - Stephan Raaijmakers; Roos M. Bakker; Anita H. M. Cremers; Roy De Kleijn; Tom Kouwenhoven; Tessa Verhoef (CoRR, 2024)

Model Virtues in Computational Cognitive Neuroscience. - Saskia Heijnen; Jan Sleutels; Roy De Kleijn (J. Cogn. Neurosci., 2024)

Conspiracy thinking and social media use are associated with ability to detect deepfakes. - Ewout Nas; Roy De Kleijn (Telematics Informatics, 2024)

Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication. - Tom Kouwenhoven; Max Peeperkorn; Roy De Kleijn; Tessa Verhoef (CoRR, 2025)