Model architecture. The top layer denotes a compressive representation t′ of objective time t. t′ maps onto subjective time τ, weighted by the scaling factor η. Each time cell d is preferentially tuned to a time μd and responds with activation xd,τ. The sum of the features xd,τ, weighted by wd, gives estimated value V̂τ.