  In this work, we analyze the reinstatement mechanism introduced by Ritter et
al. (2018) to reveal two classes of neurons that emerge in the agent's working
memory (an epLSTM cell) when trained using episodic meta-RL on an episodic
variant of the Harlow visual fixation task. Specifically, Abstract neurons
encode knowledge shared across tasks, while Episodic neurons carry information
relevant for a specific episode's task.
