I am interested in the Bayesian Brain Hypothesis, more specifically in computational models for describing degrees of suprise in early perception. To this end, I am investigating several variants of sequential Bayesian learner models in their ability to explain the amplitude of an EEG signal, namely the somatosensory mismatch negativity.
Tertel, K., Tandon, N., & Ellmore, TM. (2011). Probing brain connectivity by combined analysis of diffusion MRI tractography and electrocorticography. Computers in Biology and Medicine, 41(12), 1092–9. doi: 10.1016/j.compbiomed.2010.11.004.
Khursheed, F., Tandon, N., Tertel, K., Pieters, TA., DiSano, MA., Ellmore, TM. (2011). Frequency-specific electrocorticographic correlates of working memory delay period fMRI activity. Neuroimage, 56(3), 1773-82. doi: 10.1016/j.neuroimage.2011.02.062
Ellmore, TM., Tertel, K., Dias, NR., Tandon, N. (2012). Mapping subcortical connectivity related to cortical gamma and theta oscillations. IEEE Signal Processing in Medicine and Biology Symposium. doi: 10.1109/SPMB.2012.6469452