High-resolution neuroimaging reveals stimulus-specific predictions sent from hippocampus to the neocortex during perception.

Hocker et al. demonstrate a method for training recurrent neural networks, which they call ‘kindergarten curriculum learning’, involving pretraining on simple cognitive tasks to improve learning effic...

A model of compositional state spaces in the hippocampus shows latent learning and rapid generalization. Bakermans et al. show that this model predicts the emergence of place responses in replay.

The appropriate form of the drift diffusion model depends on how one wishes to reason about their target with the model. If the goal is to parsimoniously explain the speed-accuracy tradeoff, the appr...

Nature - Neurons in the rodent dorsomedial prefrontal cortex encode a flexible internal model of emotion by linking directly experienced and inferred associations with aversive experiences.

Nature - A study shows that loss of memory precision associated with systems consolidation can be explained by neurogenesis-dependent reorganization of engram circuitry within the hippocampus over...

Our group investigates how cells and circuits in the brain work together to perform computations that support memory. Using a wide range of technical approaches, we investigate how these computations ...

Merging ideas from reinforcement learning theory with recent insights into the filtering properties of the dorsal raphe nucleus, a unifying perspective is found explaining why serotonin neurons are ac...

Can the absence of inhibition lead to auditory hallucinations? This study shows that the impairment of motor-based sensory predictions causes erroneous monitoring of imprecise internal auditory repres...