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Computational models of schizophrenia and dopamine modulation in the prefrontal cortex

<28> Published in the leading journal in neuroscience, this highly-cited paper reports a new computational theory of how the functioning of NMDA (N-methyl-D-aspartate), GABA (g-aminobutyric acid) and dopamine receptors is related to neurophysiological findings and clinical symptoms in schizophrenia. This approach, based on simulated neural networks with Poisson spiking neurons, has clinical implications and has had significant impact on the field, including in emotion regulation in young adults (Urry, Wisconsin-Madison), decision-making (Wang, Yale), attentional stability (Rawlings, Oxford), neurological disorders (Maia, Columbia), effects of ketamine on brain function (de Boer, Johnson and Johnson) and smoking in the general population (Brinkmeyer, Dusseldorf).