Neocortical pyramidal neurons in vivo are subject to an intense synaptic ba
ckground activity that has a significant impact on various electrophysiolog
ical properties and dendritic integration. Using detailed biophysical model
s of a morphologically reconstructed neocortical pyramidal neuron, in which
synaptic background activity was simulated according to recent measurement
s in cat parietal cortex in vivo, we show that the responsiveness of the ce
ll to additional periodic subthreshold stimuli can be significantly enhance
d through mechanisms similar to stochastic resonance. We compare several pa
radigms leading to stochastic resonance-like behavior, such as varying the
strength or the correlation in the background activity. A new type of reson
ance-like behavior was obtained when the correlation was varied, in which c
ase the responsiveness is sensitive to the statistics rather than the stren
gth of the noise. We suggest that this type of resonance may be relevant to
information processing in the cerebral cortex.