1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
The Representation Jensen-Rényi Divergence
Jhoan Keider Hoyos Osorio, Oscar Skean, Austin J. Brockmeier +1
We introduce a divergence measure between data distributions based on operators in reproducing kernel Hilbert spaces defined by kernels. The empirical estimator of the divergence i…
Exploring latent networks in resting-state fMRI using voxel-to-voxel causal modeling feature selection
Hassan Baker, Austin J. Brockmeier
Functional networks characterize the coordinated neural activity observed by functional neuroimaging. The prevalence of different networks during resting state periods provide usef…
Shift-invariant waveform learning on epileptic ECoG
Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
Seizure detection algorithms must discriminate abnormal neuronal activity associated with a seizure from normal neural activity in a variety of conditions. Our approach is to seek…
Searching for waveforms on spatially-filtered epileptic ECoG
Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
Seizures are one of the defining symptoms in patients with epilepsy, and due to their unannounced occurrence, they can pose a severe risk for the individual that suffers it. New re…