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. Author manuscript; available in PMC: 2014 Dec 1.
Published in final edited form as: J Neural Eng. 2013 Oct 25;10(6):066011. doi: 10.1088/1741-2560/10/6/066011

Figure 8. Model parameters predict linear local response properties, but nonlinear propagation of activity.

Figure 8

(a) The average first stage kernel from the phenomenological model fit with feedback (red) and feedforward (blue) dynamics. (b) The average second stage kernel. (c) An example of the full static nonlinearity created by combining both stages. (d) and (e) The static nonlinearity at the first and second stages, respectively, for the feedback and feedforward models. (f) The average sensitivity across animals (N=7) is distinctly different for the feedback and feedforward models. The feedback model was weakly sensitive in the first stage and highly sensitive in the second stage. The feedforward model was moderately sensitive in both stages.