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Computational neuroscience has contributed significantly to our unders
tanding of higher brain function by combining experimental neurobiolog
y, psychophysics, modeling, and mathematical analysis. This article re
views recent advances in a key area: neural coding and information pro
cessing, It is shown that synapses are capable of supporting computati
ons based on highly structured temporal codes, Such codes could provid
e a substrate for unambiguous representations of complex stimuli and b
e used to solve difficult cognitive tasks, such as the binding problem
, Unsupervised learning rules could generate the circuitry required fo
r precise temporal codes, Together, these results indicate that neural
systems perform a rich repertoire of computations based on action pot
ential timing.