Lexical and syntactic structures in a connectionist model of reading multi-digit numbers. - Tom Verguts; Wim Fias (Connect. Sci., 2006)

How to Compare Two Quantities? A Computational Model of Flutter Discrimination. - Tom Verguts (J. Cogn. Neurosci., 2007)

A hippocampal-parietal network for learning an ordered sequence. - Filip Van Opstal; Tom Verguts; Guy A. Orban; Wim Fias (NeuroImage, 2008)

Similarity and Rules United: Similarity- and Rule-Based Processing in a Single Neural Network. - Tom Verguts; Wim Fias (Cogn. Sci., 2009)

The neural representation of extensively trained ordered sequences. - Filip Van Opstal; Wim Fias; Philippe Peigneux; Tom Verguts (NeuroImage, 2009)

Salience maps in parietal cortex: Imaging and computational modeling. - Chantal Roggeman; Wim Fias; Tom Verguts (NeuroImage, 2010)

Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD. - Massimo Silvetti; Jan R. Wiersema; Edmund Sonuga-Barke; Tom Verguts (Neural Networks, 2013)

Reward expectation and prediction error in human medial frontal cortex: An EEG study. - Massimo Silvetti; Elena Núñez Castellar; Clémence Roger; Tom Verguts (NeuroImage, 2014)

Unsigned value prediction-error modulates the motor system in absence of choice. - Eliana Vassena; Stephanie Cobbaert; Michael Andres; Wim Fias; Tom Verguts (NeuroImage, 2015)

Binding by Random Bursts: A Computational Model of Cognitive Control. - Tom Verguts (J. Cogn. Neurosci., 2017)

Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner. - Massimo Silvetti; Eliana Vassena; Elger L. Abrahamse; Tom Verguts (PLoS Comput. Biol., 2018)

Context-dependent modulation of cognitive control involves different temporal profiles of fronto-parietal activity. - Bart Aben; Cristian Buc Calderon; Laurens Van der Cruyssen; Doerte Picksak; Eva Van den Bussche; Tom Verguts (NeuroImage, 2019)

Oscillatory signatures of reward prediction errors in declarative learning. - Kate Ergo; Esther De Loof; Clio Janssens; Tom Verguts (NeuroImage, 2019)

Learning to synchronize: How biological agents can couple neural task modules for dealing with the stability-plasticity dilemma. - Pieter Verbeke; Tom Verguts (PLoS Comput. Biol., 2019)

Neural Synchrony for Adaptive Control. - Pieter Verbeke; Tom Verguts (J. Cogn. Neurosci., 2021)

Using top-down modulation to optimally balance shared versus separated task representations. - Pieter Verbeke; Tom Verguts (Neural Networks, 2022)

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits. - Cristian Buc Calderon; Tom Verguts; Michael J. Frank (PLoS Comput. Biol., 2022)

Neural Representations of Task Context and Temporal Order During Action Sequence Execution. - Danesh Shahnazian; Mehdi Senoussi; Ruth M. Krebs; Tom Verguts; Clay B. Holroyd (Top. Cogn. Sci., 2022)

Obsessive-compulsive disorder is characterized by decreased Pavlovian influence on instrumental behavior. - Ziwen Peng; Luning He; Rongzhen Wen; Tom Verguts; Carol A. Seger; Qi Chen (PLoS Comput. Biol., 2022)

A reinforcement learning framework for information-seeking and information-avoidance. - Irene Cogliati Dezza; Gaia Molinaro; Tom Verguts (CogSci, 2023)

Environment-sensitive generalization and exploration strategies. - Fien Ruth Goetmaeckers; Charley M. Wu; Tom Verguts; Senne Braem (CogSci, 2023)

A low-dimensional approximation of optimal confidence. - Pierre Le Denmat; Tom Verguts; Kobe Desender (PLoS Comput. Biol., 2024)

Learning environment-specific learning rates. - Jonas Simoens; Tom Verguts; Senne Braem (PLoS Comput. Biol., 2024)