Control & neurostimulation

I study the control of synchronization dynamics of coupling oscillators (e.g., neurons) with applications to computational neuroscience such as the control of symptoms in neurodegenerative diseases such as Parkinson’s, epilepsy, or compulsive-obsessive disorder.

  • I have introduced a desynchronization method [1], which uses a Hamiltonian formulation of the Kuramoto model, a well-known paradigmatic model for describing the collective dynamics of phase-coupled oscillators.

  • Based on the method above, I have developed a control protocol that minimizes the invasiveness of the Deep Brain Neurostimulation technique by controlling the symptoms caused by the abnormal synchronization at either the basal ganglia or cortex level [2].

References

[1] O. Gjata, M. A., L. Barletti, T. Carletti, “Using Hamiltonian control to desynchronize Kuramoto oscillators”, Physical Review E (IF: 2.529), 95, 022209 (2017)

[2] M. A., P. Expert, T. Carletti, “A minimally invasive neurostimulation method for controlling abnormal synchronization in the neuronal activity”, PLoS Computational Biology (IF: 4.475), 14(7), e1006296 (2018)