Computational Network Models

We use computational modeling to link our macroscopic observations/findings from our human neuroimaging work to mesoscopic scale neuronal population activity and circuity. For example we have developed large scale spiking neuron models of sensory cortices, such as V1, and used them as a substrate for investigate representations for perceptual decision making. We find that, already at the level of early sensory cortices, a reliable representation exists in the population neurodynamics and can belinearly decoded and matched to human psychophysics data.