Erik J. Peterson

TL;DR: An algorithm to parameterize electrophysiological neural power spectra as a combination of an aperiodic component and putative periodic oscillatory peaks is introduced, addressing limitations of common approaches.

TL;DR: A computational model is developed to show that E:I changes can be estimated from the power law exponent (slope) of the electrophysiological power spectrum, and provides evidence thatE:I ratio may be inferred from electrophysics recordings at many spatial scales, ranging from the local field potential to surface electrocorticography.

TL;DR: Data indicate that SLAP-130/Fyb is important for coupling TCR-mediated actin cytoskeletal rearrangement with activation of integrin function, and for T cells to respond fully to activating signals.

TL;DR: Results suggest that serum IL-6 production and the type I IFN gene signature are candidate biomarkers for disease activity in adult and juvenile DM.

TL;DR: A novel algorithm for automatic parameterization of neural power spectral densities (PSDs) as a combination of the aperiodic signal and putative periodic oscillations is introduced, requiring no a priori specification of band limits and accounts for potentially-overlapping oscillations while minimizing the degree to which they are confounded with one another.