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Current work, related interests:
Mathematical and computational neuroscience: bifurcation theory, stochastic calculus, integro-differential equations
Modelling of biological and machine visual perception
His research interests have been in image processing, computer vision and robotics until the end of the 20th century.
They are now in mathematical neuroscience, i.e. in applying mathematics to model populations of neurons. The kinds of mathematics that are important in this area encompass the theory of dynamical systems and the bifurcations of their solutions in the deterministic and stochastic frameworks as well as the theory of stochastic processes and large deviation theory. Applications of his work include computer and biological visual perception, neuronal diseases, plasticity and learning, models of functional imaging modalities (MR, MEG, EEG).
Mathematical and computational neuroscience: bifurcation theory, stochastic calculus, integro-differential equations
Modelling of biological and machine visual perception
His research interests have been in image processing, computer vision and robotics until the end of the 20th century.
They are now in mathematical neuroscience, i.e. in applying mathematics to model populations of neurons. The kinds of mathematics that are important in this area encompass the theory of dynamical systems and the bifurcations of their solutions in the deterministic and stochastic frameworks as well as the theory of stochastic processes and large deviation theory. Applications of his work include computer and biological visual perception, neuronal diseases, plasticity and learning, models of functional imaging modalities (MR, MEG, EEG).
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Insurance: Mathematics and Economics (2024)
COMMUNICATIONS IN STATISTICS-THEORY AND METHODSpp.1-11, (2023)
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