An integrative framework for the human sense of control
Learning is a fundamental source of behavioral individuality
Remembering the “When”: Hebbian memory models for the time of past events
Representational similarity modulates neural and behavioral signatures of novelty
Novelty as a drive of human exploration in complex stochastic environments
A foundation model to predict and capture human cognition
Merits of curiosity: a simulation study
Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain
Computational models of intrinsic motivation for curiosity and creativity
Distributed and specific encoding of sensory, motor, and decision information in the mouse neocortex during goal-directed behavior
Curiosity-driven exploration: foundations in neuroscience and computational modeling
Surprise and novelty in the brain
A taxonomy of surprise definitions
Brain signals of a Surprise-Actor-Critic model: evidence for multiple learning modules in human decision making
Novelty is not Surprise: human exploratory and adaptive behavior in sequential decision-making
Learning in volatile environments with the Bayes Factor Surprise
Fitting summary statistics of neural data with a differentiable spiking network simulator
Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response
Trial-by-trial surprise-decoding model for visual and auditory binary oddball tasks
Election vote share prediction using a sentiment-based fusion of Twitter data with Google Trends and online polls
Our paper on EEG-based surprise decoding on the cover of NeuroImage
Our paper on surprise-modulated adaptive learning on the cover of Neural Computation
Our review paper on curiosity-driven exploration on the cover of Trends in Neurosciences