Jesse Rissman

This study shows humans and neural networks can learn context-dependent statistical patterns even with changing, unsignaled contexts, and identifies distributed representations as key to preventing interference.

The paper develops a novel task to disentangle face perception and memory, finding they operate independently under low demand but interact in complex conditions through strategic shifts in processing.

The paper uses EEG features beyond spectral power to predict working memory performance and psychopathology, finding that some models generalize better than others.

The paper evaluates the reliability of cognitive tasks using a large dataset and develops a web tool to predict reliability based on trial numbers and participants.

This study uses HD-tDCS to show that left VLPFC enhances memory encoding of high-value items by boosting semantic processing.