Effective Stimuli for Constructing Reliable Neuron Models
Figure 2
Training and Generalization paradigm.
Example - training on responses to step currents and generalizing to responses for ramp currents. (a) Experimental voltage responses recorded from rat layer 5 pyramidal cell (depicted in Figure S1c) to three depolarizing current steps (lower blue) are used as the training set; the experimental response to the largest step current, #3, is displayed in black. (b) Model response to step current #3 following training on the three current steps. (c) Model response (red trace) to a new stimulus, in this case a ramp current (lower red trace in d). (d) Experimental response to the same ramp current. Comparison between model prediction and experimental data, using feature-based distance functions, enables one to quantify the accuracy of the generalization procedure (see Figure 3). In this case the average feature error was approximately 1.5 in units of the experimental standard deviation.