Prefrontal cortex basal ganglia working memory (PBWM) is an algorithm that models working memory in the prefrontal cortex and the basal ganglia.[1]
It can be compared to long short-term memory (LSTM) in functionality, but is more biologically explainable.[1][2]
It uses the primary value learned value model to train prefrontal cortex working-memory updating system, based on the biology of the prefrontal cortex and basal ganglia.[3]
It is used as part of the Leabra framework and was implemented in Emergent in 2019.