The convergence characteristics of an isolated Hopfield-type
neuron in time varying environments are considered
in particular when the neuronal parameters are assumed
to be almost periodic. This study includes the investigations
of neurons having periodic parameters but the periods are not
integrally dependent. Both continuous-time-continuous-state
and discrete-time-continuous-state models are discussed.
Sufficient conditions are established for associative stimulus.
It is shown that when the nreronal gain is dominated by the
neuronal dissipation on average, associative recall of
the encoded temporal pattern is guaranteed and this is
achieved by the global stability of the encoded pattern.