Akademik Veri Yönetim Sistemi
5 TH INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGY AND INNOVATION, İstanbul, Türkiye, 13 - 17 Ekim 2021, ss.34-40
Last years the genetic engineering methods are applied to excite or inhibit single neurons and their populations via light-sensitive channels with different optical devices. Optogenetics allows neurons to be controlled with millisecond pulses through the light-driven activation or inactivation of the light-gated ion channels such as Channelrhodopsin-2 (ChR2) or pumps such as Halorhodopsin in the axon membrane. To study the optogenetic control we use here the ‘four state’ model of ChR2 channels (Grossman, et al., 2011) with the stimulation applied to the small-scale depolarizing excitatory population of cortical neurons. We develop an algorithm for the Kolesnikov’s target attractor feedback forming an artificially supported attractor in the phase space of the dynamical system locking the trajectories in its neighborhood to drive the collective bursting of the neural population described by the non-dimensional meso-scale model (Krame, et al., 2006). We discuss pros and cons of our model to compare with existing alternative approaches.