4 papers
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials
Marko Angjelichinoski, John Choi, Taposh Banerjee +2
Objective. We consider the cross-subject decoding problem from local field potential (LFP) signals, where training data collected from the prefrontal cortex (PFC) of a source subje…
Minimax-optimal decoding of movement goals from local field potentials using complex spectral features
Marko Angjelichinoski, Taposh Banerjee, John Choi +2
We consider the problem of predicting eye movement goals from local field potentials (LFP) recorded through a multielectrode array in the macaque prefrontal cortex. The monkey is t…
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…