We studied the influences of the temporal firing patterns of presynapt
ic cat visual cortical cells on spike generation by postsynaptic cells
. Multiunit recordings were dissected into the activity of individual
neurons within the recorded group. Cross-correlation analysis was then
used to identify directly coupled neuron pairs. The 22 multiunit grou
ps recorded typically showed activity from two to six neurons, each co
ntaining between 1 and 15 neuron pairs. From a total of 241 neuron pai
rs, 91 (38%) had a shifted cross-correlation peak, which indicated a p
ossible direct connection. Only two multiunit groups contained no shif
ted peaks. Burst activity, defined by groups of two or more spikes wit
h intervals of less than or equal to 8 ms from any single neuron, was
analyzed in terms of its effectiveness in eliciting a spike from a sec
ond, driven neuron. We defined effectiveness as the percentage of spik
es from the driving neuron that are time related to spikes of the driv
en neuron. The effectiveness of bursts (of any length) in eliciting a
time-related response spike averaged 18.53% across all measurements as
compared with the effectiveness of single spikes, which averaged 9.53
%. Longer bursts were more effective than shorter ones. Effectiveness
was reduced with spatially nonoptimal, as opposed to optimal, stimuli.
The effectiveness of both bursts and single spikes decreased by the s
ame amount across measurements with nonoptimal orientations, spatial f
requencies and contrasts. At similar firing rates and burst lengths, t
he decrease was more pronounced for nonoptimal orientations than for l
ower contrasts, suggesting the existence of a mechanism that reduces e
ffectiveness at nonoptimal orientations. These results support the hyp
othesis that neural information can be emphasized via instantaneous ra
te coding chat is not preserved over long intervals or over trials. Th
is is consistent with the integrate and fire model, where bursts parti
cipate in temporal integration.