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Recent theoretical models propose that working memory is mediated by rapid transitions in 'activity-silent' neural states (for example, short-term synaptic plasticity). According to the dynamic coding framework, such hidden state transitions flexibly configure memory networks for memory-guided behavior and dissolve them equally fast to allow forgetting. We developed a perturbation approach to measure mnemonic hidden states in an electroencephalogram. By 'pinging' the brain during maintenance, we show that memory-item-specific information is decodable from the impulse response, even in the absence of attention and lingering delay activity. Moreover, hidden memories are remarkably flexible: an instruction cue that directs people to forget one item is sufficient to wipe the corresponding trace from the hidden state. In contrast, temporarily unattended items remain robustly coded in the hidden state, decoupling attentional focus from cue-directed forgetting. Finally, the strength of hidden-state coding predicts the accuracy of working-memory-guided behavior, including memory precision.

Original publication

DOI

10.1038/nn.4546

Type

Journal article

Journal

Nat Neurosci

Publication Date

06/2017

Volume

20

Pages

864 - 871

Keywords

Adolescent, Adult, Attention, Brain, Cues, Electroencephalography, Female, Humans, Male, Memory, Short-Term, Mental Recall, Models, Psychological, Photic Stimulation, Psychomotor Performance, Young Adult