Working Memory Load Modulates Neuronal Coupling

Cereb Cortex. 2019 Apr 1;29(4):1670-1681. doi: 10.1093/cercor/bhy065.

Abstract

There is a severe limitation in the number of items that can be held in working memory. However, the neurophysiological limits remain unknown. We asked whether the capacity limit might be explained by differences in neuronal coupling. We developed a theoretical model based on Predictive Coding and used it to analyze Cross Spectral Density data from the prefrontal cortex (PFC), frontal eye fields (FEF), and lateral intraparietal area (LIP). Monkeys performed a change detection task. The number of objects that had to be remembered (memory load) was varied (1-3 objects in the same visual hemifield). Changes in memory load changed the connectivity in the PFC-FEF-LIP network. Feedback (top-down) coupling broke down when the number of objects exceeded cognitive capacity. Thus, impaired behavioral performance coincided with a break-down of Prediction signals. This provides new insights into the neuronal underpinnings of cognitive capacity and how coupling in a distributed working memory network is affected by memory load.

Keywords: biophysical modeling; cognitive capacity; prefrontal cortex; synchrony; working memory.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cerebral Cortex / physiology*
  • Haplorhini
  • Memory, Short-Term / physiology*
  • Models, Neurological
  • Neural Pathways / physiology
  • Neurons / physiology*
  • Pattern Recognition, Visual / physiology*