An analysis of mode-locked solutions that may arise in periodically forced
integrate-and-fire (IF) neural oscillators is introduced based upon a firin
g map formulation of the dynamics. A q:p mode-locked solution is identified
with a spike train in which p firing events occur in a period q Delta, whe
re Delta is the forcing period. A linear stability analysis of the map of f
iring times around such solutions allows the determination of the Arnold to
ngue structure for regions in parameter space where-stable solutions exist.
The analysis is verified against direct numerical simulations for both a s
inusoidally forced IF system and one in which a periodic sequence of spikes
is used to induce a biologically realistic synaptic input current. This ap
proach is extended to the case of two synaptically coupled IF oscillators,
showing that mode-locked states can exist for some self-consistently determ
ined common period of repetitive firing. Numerical simulations show that su
ch solutions have a bursting structure where regions of spiking activity ar
e interspersed with quiescent periods before repeating. The influence of th
e synaptic current upon the Arnold tongue structure is explored in the regi
me of weak coupling. [S1063-651X(99)09207-7].