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Daniele Marinazzo's profile
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What I do
In the last years, concepts and methodologies initially developed in theoretical physics have found high applicability in a number of very different areas. Words as complexity, nonlinearity, chaos, noise, which have always existed in the vocabulary of theoretical physicists, find their natural collocation in the physiological rhythms. Together with my colleagues, I apply methods and approaches rooted in physics to the analysis of physiological signals. The field is vaste and unexplored and presents multiple facets. These characteristics are reflected in the structure of the work done, and of the map below. I am happy that our research path had lead us through several facets of this exciting and complex world.
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Affiliations
Current affiliations
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- Position
- Postdoc
- Company
- Università di Bari and INFN sezione di Bari, Italy
- Further information
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Interests
Study of biomedical signals, study of biological systems as complex systems, use of advanced mathematical physics methods, modeling of out-of-equilibrium systems, study of stochastic processes, clustering and classification problems, computational neuroscience.
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Projects
Causality in neural populations, classification of biomedical data
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Publications
Kernel method for clustering based on optimal target vector Physics Letters A , 413 (2006)
Nonlinear parametric model for Granger causality of time series Physical Review E , 066216 (2006)
Leave-one-out prediction error of systolic arterial pressure time series under paced breathing Physiological Measurement , 363 (2005)
Measuring randomness by leave-one-out prediction error. Analysis of EEG after painful stimulation Physica A , 491 (2005)
The measure of randomness by leave-one-out prediction error in the analysis of EEG after laser painful stimulation in healthy subjects and migraine patients Clinical Neurophysiology , 2775 (2005)
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Daniele Marinazzo's activity on Nature Network
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