964 citations · 969 across the 7 of their papers we have counts for
9 papers
Deep Cross-Subject Mapping of Neural Activity
Marko Angjelichinoski, Bijan Pesaran, Vahid Tarokh
Objective. In this paper, we consider the problem of cross-subject decoding, where neural activity data collected from the prefrontal cortex of a given subject (destination) is use…
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…
A framework for detection and classification of events in neural activity
Hemant Bokil, Bijan Pesaran, R. A. Andersen +1
We present a method for the real time prediction of punctate events in neural activity, based on the time-frequency spectrum of the signal, applicable both to continuous processes…