358 citations · 984 across the 26 of their papers we have counts for
3 papers · 1 filter
Differential covariance: A new method to estimate functional connectivity in fMRI
Tiger w. Lin, Giri P. Krishnan, Maxim Bazhenov +1
Measuring functional connectivity from fMRI is important in understanding processing in cortical networks. However, because brain's connection pattern is complex, currently used me…
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
Much of studies on neural computation are based on network models of static neurons that produce analog output, despite the fact that information processing in the brain is predomi…
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings
Tiger W. Lin, Anup Das, Giri P. Krishnan +2
With our ability to record more neurons simultaneously, making sense of these data is a challenge. Functional connectivity is one popular way to study the relationship between mult…