A neural basis for learning sequential memory in brain loop structures

HIGHLIGHTS

• What: The authors investigated conditions necessary for the learning of sequential memory in brain loop structures via computational modeling. In fact, while closed loops can occur within a recurrently connected network, this study investigates them at a larger scale with multiple, individual areas. This model has a value of 1 during the active period, and a value of 0 during the initiation or inhibition periods. The number instead of 1 - tA tA of similar terms with the same characteristics increases, so it does not have a significant impact on the conclusions of this study, especially when areal . . .
  

   

  

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