A comparison of neural models of interval timing.

A comparison of neural models of interval timing. In relation to our model, these models can be distinguished along dimensions including the interval length addressed (IL); whether they show ramping activity, and if so, whether the ramp is ascending or descending (RA: up/down/both/no); whether they rely on multistable dynamics, and if so, whether the mechanism is cellular or network-based (MS: cel/net/both/no); whether neural activity shows a true gradient or an average of binary states (TG: yes/no); whether the scalar property of interval timing was shown: (SP: yes/no); and whether the learning of intervals was shown (L: yes/no).