Fig. 4
From: Propagation of temporal and rate signals in cultured multilayer networks
Propagation of information about the stimulus jitter in multilayer networks. a Top, dot rasters of spiking activity in individual cells in layers 1–4 (left to right) for stimulus jitters (σ) of 0 (red) and 20 ms (blue). Simultaneous cell-attached recordings were performed from one neuron in each layer. Bottom, PSTHs compiled from the spiking of neurons evoked with varying stimulus jitters (σ = 0, 5, 10,15, 20 ms; from red to dark blue). b Firing rate as a function of jitter for neurons in layers 1–4. The firing rate measured in a 300 ms time window following the stimulus was normalized (divided) by the rate averaged over the different jitters. c Decoding accuracy quantified as the probability of correctly classifying stimulus jitter in each layer. Decoding used time of the first spike and firing rate as predictors (see text). Numbers in brackets indicate the number of individual neurons (out of 16 neurons for each layer) with significant decoding accuracy with a p-value of 0.01 (see Methods). d Channel capacity computed using the time of the first spike and the firing rate (black), only the firing rate (magenta), or only the time of the first spike (cyan) as predictors. Inset: channel capacity for individual data. e Difference between the information carried by the firing rate and the information carried by the time of the first spike relative to their sum. Data are compiled from the same n = 16 dense networks of Fig. 2 and are presented as mean ± SEM. In c–e all data are shown as thin lines
