Changes in behavioral priority influence the accessibility of working memory content.

Area of Science:

• Cognitive Neuroscience
• Neuroscience of Working Memory
• Human Brain Activity Analysis

Background:

• Behavioral goals necessitate mechanisms to prioritize task-relevant information in working memory (WM).
• Previous research shows selection of WM content impacts neural representations, but often in all-or-none scenarios.
• Behavioral studies indicate flexible assignment of priorities to WM items, yet neural underpinnings remain unclear.

Purpose of the Study:

• To investigate how differential prioritization of WM content influences the quality of neural representations.
• To determine if behavioral priorities affect the speed of selecting and reporting WM content from neural signals.
• To differentiate between memory strength and selection ease as influenced by probabilistic relevance.

Main Methods:

• Two experiments were conducted using electroencephalography (EEG) recordings from human volunteers.
• A retrospectively cued working memory task was employed to manipulate item priority.
• Decoding of high- and low-priority WM content from EEG signals was performed to assess neural representations.

Main Results:

• Probabilistic changes in behavioral relevance did not alter the ability to decode WM content from EEG.
• However, these relevance changes significantly influenced the latency at which above-chance decoding performance was achieved.
• Neural representations of WM content are selected more rapidly when their behavioral relevance increases.

Conclusions:

• The ease of selecting memories from working memory is influenced by their behavioral relevance, independent of memory strength.
• Neural selection mechanisms for WM content are modulated by probabilistic relevance, affecting retrieval speed.
• Findings suggest that priority assignment impacts the temporal dynamics of accessing WM information.