All articles tagged with #statistical learning
A 226-participant online study found that higher ADHD-like traits disrupt the usual automatic-learning boost that occurs when deliberate control is weakened; instead of gaining faster responses to hidden patterns, participants with ADHD traits did not show this advantage, possibly due to poorer inhibition, cue reactivity, and mind wandering, with limitations including a non-lab sample and reliance on self-reported symptoms.
A new cross-species preprint shows the hippocampus encodes both the identity of auditory sequences and how often they occur, enabling passive statistical learning in humans and mice. Blocking dorsal CA1 disrupts passively learned rules and generalizations without harming task performance, while neurons rapidly encode both sequence structure and statistics in separate patterns. The findings support the hippocampus as a general-purpose statistical learning machine, potentially via distinct pathways from the entorhinal cortex to CA1 (monosynaptic) and through the trisynaptic circuit (DG→CA3→CA1).