Figure 6.

Empirical principles of multisensory integration for single neurons. A, Inverse effectiveness and spatial principle. Neuronal responses in the three stimulus conditions (cue 1 or 2 alone and cue 1 and cue 2 together) are plotted as a function of cue intensity, under different disparity between two cues. The differences of two cues are varied from 0 to 2a, where a is the turning width. B, Reliability-dependent combination. The bimodal tuning curves of a probe neuron with varied cue intensities are shown as a contour plot. The two marginal curves around each contour are the unimodal tuning curves. The intensity of cue 1, α₁, decreases gradually from left to right, whereas the intensity of cue 2, α₂, is fixed. C, Bimodal turning curve fitted as a linear model of the two unimodal turning curves (Eq. 31). The plot shows the weight of the two cues with respect to the relative intensity of cue 1. Parameters are the same as in Figure 5.