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This paper presents a numerical approach using principal component analysis (PCA) to quantize and characterize the variance of hand postures in a novel posture transformation task. Five subjects were tested in two tasks in which a cursor can be moved by varying the hand posture. This was accomplished by weighted linear combination of 14 sensors of a data glove. The first task was to move a cursor...
The human rewards network is a complex system spanning both cortical and subcortical regions. While much is known about the functions of the various components of the network, research on the behavior of the network as a whole has been stymied due to an inability to detect signals at a high enough temporal resolution from both superficial and deep network components simultaneously. In this paper,...
Much of the neural activity at the network scale occurs in both telencephalic and mes- and diencephalic tissue. Non-invasive functional imaging such activity has historically been limited to functional magnetic resonance imaging (fMRI) experiments, which has a minimum temporal resolution of four seconds. In this paper, we describe the use of the recently developed exSSS signal processing method to...
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