An Accumulating Neural Signal Underlying Binocular Rivalry Dynamics

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Figure 4.
Figure 4.

Results of a simple accumulator model. A, The signal accumulates (drifts) with a fixed rate μ and Gaussian noise with variance σ. When it reaches the threshold θ, the threshold and the drifting rate inverts and the signal accumulates to the other percept. B, Model accumulator signals averaged within 100 duration bins, as in Figure 2A. C, Averaged model signals within 3 bins aligned to the start (left) and end (right) of the period separately, as was done for SSVEP data in Figure 2B. The slope succeeding the period start differs as a function of duration, but time courses converge preceding the period end, similar to the patterns seen in the SSVEP data.

  1. The Journal of Neuroscience vol. 43 no. 50 8777-8784
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