This paper presents a computer simulation of the three-loop model for
the temporal aspects of the generation of visually guided saccadic eye
movements. The intention is to reproduce complex experimental reactio
n time distributions by a simple neural network. The operating element
s are artificial but realistic neurones. Foul modules are constructed,
each consisting of 16 neural elements. Within each module, the elemen
ts are connected in an all-to-all manner. The modules are working para
llel and serial according to the anatomically and physiologically iden
tified visuomotor pathways including the superior colliculus, the fron
tal eye fields, and the parietal cortex. Two transient-sustained input
lines drive the network: one represents the visual activity produced
by the onset of the saccade target, the other represents a central act
ivity controlling the preparation of saccades, e.g. the end of active
fixation. The model works completely deterministically; its stochastic
output is a consequence of the stochastic properties of the input onl
y. Simulations show how multimodal distributions of saccadic reaction
times are produced as a natural consequence of the model structure. Th
e gap effect on saccadic reaction times is correctly produced by the m
odel: depending only on the gap duration (all model parameters unchang
ed) express, fast-regular, and slow-regular saccades are obtained in d
ifferent numbers. In agreement with the experiments, bi- or trimodal d
istributions are produced only for medium gap durations (around 200 ms
), while for shorter or longer gaps the express mode disappears and th
e distributions turn bi- or even unimodal. The effect of varying the s
trength of the transient-sustained components and the ongoing activity
driving the hierarchically highest module are considered to account f
or the interindividual variability of the latency distributions obtain
ed from different subjects, effects of different instructions to the s
ame subject, and the observation of express makers (subjects who produ
ce exclusively express saccades), How the model can be extended to des
cribe the spatial aspects of the saccade system will be discussed as w
ell as the effects of training and/or rapid adaptation to experimental
conditions.