Estimating the effect of NMDA receptors on network-level oscillations and information processing
N-methyl-D-aspartate (NMDA) receptors are critical for cortical function and their dysfunctions are implicated in psychiatric disorders. Previous modeling studies focused on their role in generating long-timescale neuronal dynamics for working memory or evidence accumulation. Less is known about how NMDA-mediated synapses shape oscillatory dynamics in local field potentials (LFPs) or non-invasive E/MEG recordings, and how changes in NMDA transmission can be inferred from such measures of mass activity. To address these issues, we developed a recurrent network model of excitatory (E) and inhibi