<unk>  (PBWM) is an algorithm that models working<unk>  in the<unk><unk>  and the<unk><unk> . It can be compared to long short-term<unk>  (LSTM) in functionality, but is more biologically explainable. It uses the primary value learned value model to train<unk><unk>  working-memory updating system, based on the biology of the<unk><unk>  and<unk><unk> . It is used as part of the Leabra framework and was implemented in Emergent in 2019.
Prefrontal cortex basal ganglia working memory
Visual word form area
Extrapyramidal system
Limbic system
Visual temporal integration
Language center
Mesolimbic pathway
Working memory