For whom the bell tolls: periodic reactivation of sensory cortex in the gamma band as a substrate of visual working memory maintenance

Marieke Karlijn Van Vugt*, Ramakrishna Chakravarthi, Jean-Philippe Lachaux

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)
12 Downloads (Pure)

Abstract

Working memory (WM) is central to human cognition as it allows information to be kept online over brief periods of time and facilitates its usage in cognitive operations (Luck and Vogel; 7013). How this information maintenance actually is implemented is still a matter of debate. Several independent theories of WM, derived, respectively, from behavioral studies and neural considerations, advance the idea that items in WM decay over time and must be periodically reactivated. In this proposal, we show how recent data from intracranial EEG and attention research naturally leads to a simple model of such reactivation in the case of sensory memories. Specifically, in our model the amplitude of high-frequency activity (>50 Hz, in the gamma-band) underlies the representation of items in high-level visual areas. This activity decreases to noise-levels within 500 ms, unless it is reactivated. We propose that top down attention, which targets multiple sensory items in a cyclical or rhythmic fashion at around 6-10 Hz, reactivates these decaying gamma-band representations. Therefore, working memory capacity is essentially the number of representations that can simultaneously be kept active by a rhythmically sampling attentional spotlight given the known decay rate. Since attention samples at 6-10 Hz, the predicted WM capacity is 3-5 items, in agreement with empirical findings.

Original languageEnglish
Article number696
Number of pages10
JournalFrontiers in Human Neuroscience
Volume8
DOIs
Publication statusPublished - 4 Sept 2014

Keywords

  • gamma oscillations
  • working memory
  • working memory capacity
  • attention
  • ECoG
  • short-term-memory
  • individual-differences
  • selective attention
  • feature-integration
  • neural activity
  • temporal-lobe
  • human brain
  • search
  • synchronization
  • oscillations

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