Peter A. Robinson

TL;DR: The results show that incorporation of gain modulations enables a compact and physically justifiable description of the differences in gain between background-EEG and standard-ERP conditions, with the latter able to be initiated from the background state, rather than requiring distinct parameters as in earlier work.

TL;DR: NeuroField as discussed by the authors is a software package to simulate key aspects of brain activity at multiple scales, including microscopic, mesoscopic and large scale axonal ranges of fibers, which are essential to model dissipative wave transmission and to produce synchronous oscillations and associated cross correlation patterns as observed in local field potential recordings of active tissue.

TL;DR: It is shown that the dependences of network measures on thresholding and parcellation imply that chosen brain regions can appear to form a small world network, even though the network at finer scales, or ultimately of individual neurons, may not be small world networks themselves.

TL;DR: In this article, a stochastic analysis is developed for the superposition of multiple, fully polarized, electric-field vectors each vector is described by a polarization ellipse, with fixed axial ratio and polarization angle, and probability distribution functions (pdfs) for the field strength and phase.

TL;DR: In this paper, the authors investigate and predict the observed background levels for the TNR, RAD1, and RAD2 receivers when connected to the X, Y, and Z antennas of the WAVES instrument on the spacecraft Wind.