Classical, conditioning procedures instill knowledge about the tempora
l relationships between events, The unconditioned stimulus (US) is the
event tit be timed, The conditioned response (CR) is viewed as a pred
iction of the imminence of the US, Knowledge of the elapsed time betwe
en conditioned stimuli (CSs) and US delivery is expressed in the topol
ogical features of the CR The peak amplitude of the CR coincides with
the timing of the US. A simple connectionist network based on Sutton a
nd Barto's Time Derivative (TD) Model of Pavlovian Reinforcement provi
des a mechanism that can account for and simulate CR timing in a varie
ty of protocols, This article describes extensions of the model to pre
dictive timing under temporal uncertainty, The model is expressed in t
erms of equations that operate in real time according to a competitive
learning rule, The unfolding of time from the onsets and offsets of e
vents such as CSs is represented by the propagation of activity along
a sequence of time-tagged elements, The model can be aligned with anat
omical circuits of the cerebellum and brain stem that are essential fo
r learning and performance of conditioned eye-blink responses.