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1 Mathematics, University of Pittsburgh, Pittsburgh, PA, USA; The Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA
2 Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA; The Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA
3 Mathematics, University of Pittsburgh, Pittsburgh, PA, USA; The Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA; Laboratory of Biological Modeling, NIH, NIDDK, Bethesda, MD, USA
* To whom correspondence should be addressed. E-mail: carsonc{at}niddk.nih.gov.
Neurons in the visual cortex of the macaque monkey exhibit a variety of competitive behaviors, including normalization and oscillation, when presented with multiple visual stimuli. Here we argue that a biophysically plausible cortical circuit with opponent inhibition, spike frequency adaptation and synaptic depression can account for the full range of behaviors. The governing parameter is the strength of inhibition between competing neuronal pools. As the strength of inhibition is increased, the pattern of network behavior shifts from normalization mode to oscillatory mode, with oscillations occurring at progressively lower frequency until, at the extreme, winner-take-all behavior appears.
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