Network inference - with confidence - from multivariate time series (2009)
Kramer, Mark A., Eden, Uri T., Cash, Sydney S., Kolaczyk, Eric D.
Networks - collections of interacting elements or nodes - abound in the natural and manmade worlds. For many networks, complex spatiotemporal dynamics stem from patterns of physical interactions...
Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Emery N. Brown
Neural receptive �elds are dynamic in that with experience, neurons change their spiking responses to relevant stimuli. To understand how neural systems adapt their representations of biological...
GENERAL-PURPOSE FILTER DESIGN FOR NEURAL PROSTHETIC DEVICES LAKSHMINARAYAN SRINIVASAN (2008)
Uri T. Eden, Sanjoy K. Mitter, Emery N. Brown, Page Srinivasan
Brain-driven interfaces depend on estimation procedures to convert neural signals to inputs for prosthetic devices that can assist individuals with severe motor deficits. Previous estimation...
Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Emery N. Brown
Neural receptive �elds are dynamic in that with experience, neurons change their spiking responses to relevant stimuli. To understand how neural systems adapt their representations of biological...
Wilson Truccolo, Uri T. Eden, Matthew R. Fellows, John P. Donoghue, Emery N. Brown
Multiple factors simultaneously affect the spiking activity of individual neurons. Determining the effects and relative importance of these factors is a challenging problem in neurophysiology. We...
Wilson Truccolo, Uri T. Eden, Matthew R. Fellows, John P. Donoghue, Emery N. Brown, Truccolo Wilson
relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. J Neurophysiol 93: 1074–1089, 2005. First published September 8, 2004;...
Loren M. Frank, Uri T. Eden, Victor Solo, Matthew A. Wilson, Emery N. Brown
Neural receptive fields are frequently plastic: a neural response to a stimulus can change over time as a result of experience. We developed an adaptive point process filtering algorithm that allowed...