Decoding oscillatory representations and mechanisms in memory.

Neuropsychologia
A JafarpourEmrah Düzel

Abstract

A fundamental goal in memory research is to understand how information is represented in distributed brain networks and what mechanisms enable its reactivation. It is evident that progress towards this goal will greatly benefit from multivariate pattern classification (MVPC) techniques that can decode representations in brain activity with high temporal resolution. Recently, progress along these lines has been achieved by applying MVPC to neural oscillations recorded with electroencephalography (EEG) and magnetoencephalography (MEG). We highlight two examples of methodological approaches for MVPC of EEG and MEG data that can be used to study memory function. The first example aims at understanding the dynamic neural mechanisms that enable reactivation of memory representations, i.e., memory replay; we discuss how MVPC can help uncover the physiological mechanisms underlying memory replay during working memory maintenance and episodic memory. The second example aims at understanding representational differences between various types of memory, such as perceptual priming and conscious recognition memory. We also highlight the conceptual and methodological differences between these two examples. Finally, we discuss potential futur...Continue Reading

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Citations

Aug 14, 2013·PloS One·Anna JafarpourWill D Penny
Aug 10, 2013·NeuroImage·M E van de NieuwenhuijzenM A J van Gerven
Jan 24, 2015·ELife·Zeb Kurth-NelsonPeter Dayan
Jul 4, 2018·Journal of Neuroscience Methods·Matthew F SinghShiNung Ching
Jun 15, 2021·Human Brain Mapping·Federica MeconiSimon Hanslmayr

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