ePoster · Computational Neuroscience
Time cell encoding in deep reinforcement learning agents depends on mnemonic demands
Dongyan Lin,Blake Richards · COSYNE 2022
Thu, Mar 17, 2022
The representation of “what happened when” is central to encoding episodic and working memories. Recently discovered hippocampal “time cells” are theorized to provide the neural substrate for such representations by forming distinct sequences that encode both time elapsed and sensory content. However, while multiple neurophysiological studies have presented contradictory results on the role of “time cells” in memory, little work has directly addressed this discrepancy. Here, we hypothesize that this discrepancy is a result of different studies using tasks that involve different cognitive deman