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We report control of synchronization between pair of coupled neurons under external electrical stimulation. A nonlinear controlling mechanism is proposed for keeping the coupled system in synchronized state. We studied transitions between synchrony and asynchrony because of variation in coupling strength. We discuss the dynamical analysis for the Modified FitzHugh-Nagumo neuron model in detail. This work focuses the application of control system theory for understanding possible synchronization phenomena in a pair of biological neuron models.

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The hydromagnetic mixed convection flow and heat transfer in a top sided lid-driven square enclosure is numerically simulated in this paper following a finite volume approach based on the SIMPLEC algorithm. The enclosure is heated by corner heaters which are under isothermal boundary conditions with different lengths in bottom and right vertical walls. The lid is having lower temperature than heaters. The other boundaries of the enclosure are insulated. A uniform magnetic field is applied along the horizontal direction. A heat conducting horizontal solid object (a square cylinder) is placed centrally within the outer enclosure. Shear forces through lid motion, buoyancy forces due to differential heating and magnetic forces within the electrically conducting fluid inside the enclosure act simultaneously. Heat transfer due to forced flow, thermal buoyancy, Joule dissipation and conduction within the solid object are taken into account. Simulations are conducted for various controlling parameters such as the Richardson number (0.1 Ri 10), Hartmann number (0 Ha 50) and Joule heating parameter (0 J 5) keeping the Reynolds number based on lid velocity fixed as Re ¼ 100. The flow and thermal fields are analyzed through streamline and isotherm plots for various Ha, J and Ri. Furthermore, the pertinent transport quantities such as the drag coefficient, Nusselt number and bulk fluid temperature are also plotted to show the effects of Ha, J and Ri on them.