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. 2017 Nov 2;13(11):e1005796. doi: 10.1371/journal.pcbi.1005796

Table 4. Summary of main simulation results and comparison with other models.

Notes: (1) if learning rate is allowed to vary.

phenomenon RWDDM CSC-TD MS-TD LeT MoT explaining mechanism
faster reacquisition yes yes1 yes1 yes1 yes1 time-adaptive stimulus representation or changes in learning rate
time change in extinction yes no no no yes separate rules for time adaptation and associative strength
latent inhibition and timing part. no no no no PH rule and separate rules for time adaptation and associative strength
blocking with diff. durations part. yes yes no no RW rule and ability to time any stimulus or distributed time representation
time spec. of conditioned inhibition yes yes yes no no RW rule and concentrated memory for time or distributed time representation
compound peak procedure yes no no yes yes intertrial variability in time estimation
ISI effect and superimposition yes no part. part. yes asymptote of assoc. strength set by time and accumulator noise or time representation that gets diffuse with longer time
mixed FI yes part. part. part. yes ability to generate multiple time representations or a single distributed time representation
VI and FI yes no no no yes memory that stores average of intervals
temporal averaging yes no no no yes memory that stores average of intervals and the accumulator