44 citations · 157 across the 31 of their papers we have counts for
5 papers · 1 filter
PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components
Andrew H. Song, Demba Ba, Emery N. Brown
To capture the slowly time-varying spectral content of real-world time-series, a common paradigm is to partition the data into approximately stationary intervals and perform infere…
Spike Sorting by Convolutional Dictionary Learning
Andrew H. Song, Francisco Flores, Demba Ba
Spike sorting refers to the problem of assigning action potentials observed in extra-cellular recordings of neural activity to the neuron(s) from which they originate. We cast this…
Wavelet Shrinkage and Thresholding based Robust Classification for Brain Computer Interface
Taposh Banerjee, John Choi, Bijan Pesaran +2
A macaque monkey is trained to perform two different kinds of tasks, memory aided and visually aided. In each task, the monkey saccades to eight possible target locations. A classi…
Classification of Local Field Potentials using Gaussian Sequence Model
Taposh Banerjee, John Choi, Bijan Pesaran +2
A problem of classification of local field potentials (LFPs), recorded from the prefrontal cortex of a macaque monkey, is considered. An adult macaque monkey is trained to perform…
Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A Allsop +2
A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key…