The field of in-vivo neurophysiology currently uses statistical standard...
In this paper, we introduce a new form of amortized variational inferenc...
This paper introduces Wasserstein variational inference, a new form of
a...
This paper introduces the kernel mixture network, a new method for
nonpa...
A fundamental goal in network neuroscience is to understand how activity...
Computing accurate estimates of the Fourier transform of analog signals ...
Estimating the state of a dynamical system from a series of noise-corrup...
The analysis of nonstationary time series is of great importance in many...
Neural signals are characterized by rich temporal and spatiotemporal dyn...