Simultaneous presentation of multiple stimuli can reduce the firing rates of neurons in extrastriate visual cortex below the rate elicited by a single preferred stimulus. We describe computational results suggesting how this remarkable effect may arise from strong excitatory drive to a substantial local population of fast-spiking inhibitory interneurons, which can lead to a loss of coherence in that population and thereby raise the effectiveness of inhibition. We propose that in attentional states fast-spiking interneurons may be subject to a bath of inhibition resulting from cholinergic activation of a second class of inhibitory interneurons, restoring conditions needed for gamma rhythmicity. Oscillations and coherence are emergent features, not assumptions, in our model. The gamma oscillations in turn support stimulus competition. The mechanism is a form of ''oscillatory selection,'' in which neural interactions change phase relationships that regulate firing rates, and attention shapes those neural interactions.cholinergic modulation ͉ selective attention ͉ gamma rhythm C ortical gamma frequency (30-90 Hz) oscillations are known to be associated with many aspects of cognition, including sensory processing, attention, memory, and awareness (1). However, the biophysical underpinnings of gamma oscillations and the means by which they contribute to cognitive processing are still not fully understood. Here we continue a series of computational studies investigating how the biophysics of the gamma rhythm, and in particular its neuromodulation, affect network processing associated with attention (2-4).We focus on the much-cited experiments of Desimone and colleagues (5-7). These showed that orientation-selective principal neurons in macaque V2 and V4 respond to simultaneous presentation of preferred (''good'') and nonpreferred (''poor'') stimuli in their receptive fields at spike rates well below those elicited by the preferred stimulus alone. Furthermore, when attention is directed to either of the two stimuli, the neuron responds almost as if the unattended stimulus were absent.The essence of the mechanism we propose here is a relationship between the effectiveness of the excitatory inputs to the target network and the coherence of the network's inhibitory cells: The same drive that produces a robust response when the inhibition is coherent produces a much less robust response when the inhibition is incoherent. We describe how this mechanism can, qualitatively at least, explain the results in (5-7).Selective attention is associated with an increase in coherence of spiking and in spectral power of oscillations in the gamma frequency band (8-10). The model we offer here does not assume a priori that bottom-up or top-down input is made more coherent or more oscillatory as a result of attention (11,12). Rather, the increased gamma power and coherence of the network output are consequences of the biophysical effects of cholinergic modulation. A critical feature of the model is that the target entity of competing stream...