Figure 3. Effects of perturbation in recurrent and feedforward neural network simulations: predictions for experiment.
(a) Simulations of aperiodic (column 1), partially periodic (column 2), and fully periodic (column 3) networks show changes in the population pattern pre-perturbation (first row; ) to post-perturbation (second row; ). Solid vertical lines: pre-perturbation bump locations. (Simulation details in Materials and methods.) (b) Perturbation-induced DRPS in the various networks for two perturbation strengths (: solid line and filled gray area; : dotted line), both relative to the unperturbed case. (c) DRPS width (, defined as the standard deviation of the DRPS) as a function of perturbation strength for the different networks. Dashed green line: feedforward networks (predicted, not from simulation). The step-like shape for the partially periodic network is generic; however, the point at which the step occurs may vary from trial to trial. (d–e) Change in spatial tuning period (d) and amplitude (e) as a function of the perturbation strength (see Materials and methods). Change is defined as , where is the spatial tuning period or amplitude.