Application of a neural network model of prefrontal cortex to emulate human probability matching behavior

Probability matching behavior occurs in a variety of decision-making domains that can be mapped to the n-arm bandit problem. Prefrontal cortex has been implicated in executive control over several tasks including the n-arm bandit problem. Previously the Prefrontal cortex Basal Ganglia Working Memory (PBWM) model has been used to replicate other decision-making functions of prefrontal cortex such as recognizing sequences of symbols or visual scenes. In this work, we emulate probability matching behavior from human subjects using the PBWM model in n-arm bandit-like problems. Possible extensions to the current work such as including other biases like loss aversion and misperception of both large gains and losses are also discussed.