744 citations · 1k across the 19 of their papers we have counts for
20 papers
Cross-population coupling of neural activity based on Gaussian process current source densities
Natalie Klein, Joshua H. Siegle, Tobias Teichert +1
Because local field potentials (LFPs) arise from multiple sources in different spatial locations, they do not easily reveal coordinated activity across neural populations on a tria…
Torus Graphs for Multivariate Phase Coupling Analysis
Natalie Klein, Josue Orellana, Scott Brincat +2
Angular measurements are often modeled as circular random variables, where there are natural circular analogues of moments, including correlation. Because a product of circles is a…
A Sequential Scheme for Large Scale Bayesian Multiple Testing
Bin Liu, Giuseppe Vinci, Adam C. Snyder +1
The problem of large scale multiple testing arises in many contexts, including testing for pairwise interaction among large numbers of neurons. With advances in technologies, it ha…
Grand Challenges for Global Brain Sciences
Joshua T. Vogelstein, Katrin Amunts, Andreas Andreou +59
The next grand challenges for society and science are in the brain sciences. A collection of 60+ scientists from around the world, together with 10+ observers from national, privat…
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization
Ying Yang, Michael J. Tarr, Robert E. Kass
Magnetoencephalography (MEG) has a high temporal resolution well-suited for studying perceptual learning. However, to identify where learning happens in the brain, one needs to ap-…
False discovery rate regression: an application to neural synchrony detection in primary visual cortex
James G. Scott, Ryan C. Kelly, Matthew A. Smith +2
Many approaches for multiple testing begin with the assumption that all tests in a given study should be combined into a global false-discovery-rate analysis. But this may be inapp…