Jascha Achterberg

This study examines how goal-subgoal problem solving is encoded in a distributed network of frontal lobe regions in monkeys, showing specialized and shared representations across regions.

This study uses MEG and a recurrent neural network model to show that reduced inhibition in ZDHHC9-deficient individuals explains altered auditory processing and cortical dynamics.

This paper introduces seRNNs, a spatially-embedded recurrent neural network model that reveals structural and functional brain motifs linked to biological optimization.

This paper introduces a weighted generative model of the human connectome that captures both topology and edge-weights, showing improved accuracy over previous models.

This study shows that frontal cortex neurons in monkeys exhibit a binary one-shot switch between explore and exploit behaviors during a task with a known structure, rather than continuous changes linked to prediction errors.

This study examines how focal brain lesions affect performance on naturalistic tasks and finds that deficits are not explained by fluid intelligence or specific network damage but are instead linked to diverse lesions.