Encoded and updated spatial working memories share a common representational format in alpha activity.

Area of Science:

• Cognitive Neuroscience
• Neuroimaging

Background:

• Working memory (WM) is crucial for adapting to changing environments through flexible information updating.
• Understanding the neural mechanisms of dynamic WM updates is essential for cognitive science.

Purpose of the Study:

• To investigate the neural representation of dynamic working memory updates using electroencephalography (EEG).
• To compare the representational format of updated WM content with static WM content.
• To explore the timing and generalization of WM updates.

Main Methods:

• Utilized electroencephalography (EEG) with an inverted encoding model to reconstruct WM content.
• Analyzed alpha-band activity to track spatial information during WM encoding and updating.
• Correlated EEG-tracked update timing with behavioral measures like reaction time and saccade latency.
• Employed cross-training analyses to assess representational format generalization.

Main Results:

• Alpha-band activity precisely reconstructed both initial and updated spatial information in WM.
• The timing of WM updates, as detected by EEG, correlated with behavioral performance.
• Representational format of WM content showed generalization across updating and static storage conditions.

Conclusions:

• Alpha-band activity in EEG serves as a reliable neural marker for dynamic spatial working memory updates.
• The representational format of WM content is preserved during mental updating and static storage.
• This research offers a novel method for measuring WM updates and reveals common neural formats for dynamic and static WM.