Temporal resolution of spike coding in feedforward networks with signal convergence and divergence
Fig 2
Structural convergence to the output layer promotes timing codes across stimulus frequencies.
(A) Stimuli are sums of sines with fixed frequency component Hz and variable component
(B) Decoding accuracy based on output layer spikes binned at time resolution Δt. The blue points show the
Hz result for the network with
hidden neurons and the red points for the network with
hidden neurons. Lines are the best line fit, averaged over all network simulations. The slopes of these fits are plotted in C and E. (C) Slope of R2 v.s. Δt fits as a function of the high frequency stimulus component
. Asterisks denote where a one-sided Wilcoxon rank-sum test is significant at p<0.05. (D) Mutual information rate
based on the output layer spikes binned at time resolution Δt. (E) Slope of
v.s. Δt curves as a function of
, the high frequency stimulus component. Asterisks denote where a one-sided rank-sum test is significant at p<0.05. Error bars represent distributions of the results over 10 independent network simulations.