Cielo's research program in the Neurosciences has involved the analysis of a variety of data streams from real dynamical systems including brain enzyme and receptor fluctuations, single brain stem biogenic amine and reticular neuron discharge patterns, brain field electrical potentials, and EEG and MEG generated regional and global data series. Most recently, in collaboration with the NIMH Core MEG Laboratory, we are treating MEG recordings as delocalized electromagnetic flux fields using symmetric sensor difference series. Our data analytic approaches incorporate both stochastic, distributional statistical mechanical techniques and phase space oriented measures from the ergodic theory of (nonuniform hyperbolic) dynamical systems. Our current work also deals with the conservation of (multi-measured) brain entropy and loss of the entropies associated with pathological emergence of aberrant dynamical structure in brain disorders, such a schizophrenia and epilepsy.
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NEUROSCIENCE BIBLIOGRAPHY
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Kinkead, B, Selz, K.A., Owens, M.J., Mandell, A.J. Algorithmically designed peptides ameliorate behavioral defects in animal model of ADHD by an allosteric mechanism J Neurosci Methods 151: 68-81, 2006.
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