Phase separation of competing memories along the human hippocampal theta rhythm.

ABSTRACT: Competition between overlapping memories is considered one of the major causes of forgetting, and it is still unknown how the human brain resolves such mnemonic conflict. In the present magnetoencephalography (MEG) study, we empirically tested a computational model that leverages an oscillating inhibition algorithm to minimise overlap between memories. We used a proactive interference task, where a reminder word could be associated with either a single image (non-competitive condition) or two competing images, and participants were asked to always recall the most recently learned word-image association. Time-resolved pattern classifiers were trained to detect the reactivated content of target and competitor memories from MEG sensor patterns, and the timing of these neural reactivations was

SUBMITTER: Kerren C 

PROVIDER: S-EPMC9671495 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature