An indexing theory for working memory based on fast hebbian plasticity

HIGHLIGHTS

• who: Significance Statement and colleagues from the Department of Mathematics, University, have published the paper: An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity, in the Journal: (JOURNAL) of February/28,/2020
• what: The authors investigate these using a novel multiarea spiking neural network model of prefrontal cortex (PFC) and two parietotemporal cortical areas based on macaque data. The authors propose a WM indexing theory that explains how PFC could associate maintain and update multimodal LTM representations. In this model, the authors focus on layers 2/3, as its high degree of recurrent . . .
  

   

  

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