A shared, flexible neural map architecture reflects capacity limits in both visual short-term memory and enumeration

André Knops, Manuela Piazza, Rakesh Sengupta, Evelyn Eger, David Melcher

Research output: Contribution to journalArticle

Abstract

Human cognition is characterized by severe capacity limits: we can accurately track, enumerate, or hold in mind only a small number of items at a time. It remains debated whether capacity limitations across tasks are determined by acommonsystem. Here we measure brain activation of adult subjects performing either a visual short-term memory (vSTM) task consisting of holding in mind precise information about the orientation and position of a variable number of items, or an enumeration task consisting of assessing the number of items in those sets.Weshow that task-specific capacity limits (three to four items in enumeration and two to three in vSTM) are neurally reflected in the activity of the posterior parietal cortex (PPC): an identical set of voxels in this region, commonly activated during the two tasks, changed its overall response profile reflecting task-specific capacity limitations. These results, replicated in a second experiment, were further supported by multivariate pattern analysis in which we could decode the number of items presented over a larger range during enumeration than during vSTM. Finally, we simulated our results with a computational model of PPC using a saliency map architecture in which the level of mutual inhibition between nodes gives rise to capacity limitations and reflects the task-dependent precision with which objects need to be encoded (high precision for vSTM, lower precision for enumeration). Together, our work supports the existence of a common, flexible system underlying capacity limits across tasks in PPC that may take the form of a saliency map.

Original languageEnglish (US)
Pages (from-to)9857-9866
Number of pages10
JournalJournal of Neuroscience
Volume34
Issue number30
DOIs
StatePublished - 2014

ASJC Scopus subject areas

  • Neuroscience(all)

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