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CRM > English > About the CRM > People > Researchers > Dmitry Todorov > Research Interests
Research Interests
  • Computational/mathematical neuroscience – neural networks dynamics, point process GLMs, error based (supervised) and non-error based(reinforcement) learning, motor adaptation, basal ganglia models, cerebellum models

  • Dynamical systems – random perturbations, shadowing properties, structural and stochastic stability, coupled map lattices, ergodic theory, numerical methods, theormodynamical formalism, fractals

  • Probability Theory – Hawkes (self-exciting point) processes, Markov chains, martingale-coboundary approximation

  • Mathematical physics – statistical physics, nonequilibrium thermodynamics, linear response, stochastic field theory