A distributed-coding model incorporating lateral inhibition in a simulated nerve
network has been successful in accounting for many properties of backward
masking (Bridgeman, 1971, 1978), linking modeling with neurophysiology
and psychophysics. Metacontrast is a variety of backward masking that is of
particular interest in uncovering properties of visual coding because target and
mask do not overlap in time or space, and it is the first stimulus that is
reduced in visibility, not the second. The lateral inhibitory model can also
simulate common-onset masking, where a target and mask appear simultaneously but
the mask disappears after a variable delay, and it can reproduce qualitatively
the effects of attention on object substitution by varying the time interval
over which sensory codes are analyzed.