Amida Anand
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Cognitive neuroscienceWorking memoryPsychophysics

Allocation of Visual Working Memory

How the brain distributes a limited working-memory resource across competing visual items — research internship under Dr Paul Bays.

Institution
University of Cambridge
Period
Summer 2023
Role
Research intern, Department of Psychology
Status
Completed

The question

Working memory is sharply limited. When several things must be held in mind at once, the precision of each memory degrades — but not uniformly. How does the brain allocate its finite memory resource across competing items, and what governs which items are remembered well and which are sacrificed?

Approach

Working in Dr Paul Bays’ group at Cambridge, the project drew on the resource model of working memory, in which memory is a continuous quantity divided among items rather than a fixed number of discrete slots. Behavioural psychophysics — precise report tasks across varying set sizes — probes how recall precision scales as more is asked of the system.

Why it matters

The allocation of a scarce internal resource is a problem the brain solves constantly, and it connects directly to the larger thread running through this research: learning and memory as dynamical, resource-bounded inference rather than passive storage.