Autonomous Optimization of Targeted Stimulation of Neuronal Networks
Fig 4
Dependence of optimal latency on parameters that capture the network’s response to stimuli.
Dependence of the objective function on parameters that capture the network’s response to stimuli. In all panels the parameters λ, μ and σ were set to 6.67, 1, 0.6 and 1, respectively. (A) Changes of response strength with the gain A of the response strength model within the range observed experimentally (5 ≤ A ≤ 40, B = 6.67; t: stimulus latency) (B) The optimal latencies t* (dots), i.e. the maxima of the objective function f(t) increased non-linearly with the gain parameter A (dashed line). Color code as in panel A (B = 6.67). (C) Changes of optimal timing t* as a function of gain A and y-intercept B within the range observed experimentally (-10 ≤ B ≤20). B influences the relationship of t* with A and was trivial at B = 0. Black dots and dashed line indicate the case B = 6.67 shown in panel B. Note that A + B > 0 was imposed to ensure that the maximal responses were strictly positive.