Skip to main content
. Author manuscript; available in PMC: 2017 Apr 6.
Published in final edited form as: Neuron. 2016 Mar 10;90(1):165–176. doi: 10.1016/j.neuron.2016.02.012

Figure 7. Model that uses downstream noise to account for statistics of pursuit latency.

Figure 7

A: Schematic diagram of a model that uses a realistic model MT population response, an averaging population decoder, and noisy gain downstream from decoding. B, C: Gray scale representation of the difference between simulated and actual MT-pursuit correlations (B) and latency standard deviation (C) as a function of the value of downstream gain (y-axis) and the value of the downstream noise SD (x-axis). Red circles show the parameters that provide the best prediction of the actual data for both parameters. D: Comparisons among models. Error bars are standard deviations obtained from running each simulation 100 times.