Fig. 6.

Examples of response, posterior, and decoding probability distributions for 3 neurons from the IC of the big brown bat. See Fig. 3 for the dot raster displays and duration tuning profiles of each cell. A–C: probability of s spikes being evoked given the presentation of stimulus duration d; Pr(s|d) for s ∈ [0, 1, 2, 3, 4] spikes per trial and stimulus durations d ∈ [1, 2, …, 25] ms (values from 16 to 25 ms not shown due to consistent near zero responses). D–F: probability of stimulus duration d having occurred given that s spikes were evoked; Pr(d|s) for the same spike counts and stimulus durations as above calculated using Bayes' formula with naive priors. G–I: stimulus duration decoding matrices for example neurons. These matrices can be interpreted as the probability that stimulus duration d would be decoded given that stimulus duration d_pres was presented; Pr(d|d_pres), over all stimulus durations d and presented stimulus durations d_pres. Note that stimulus durations with the highest decoding probabilities correspond to the stimulus durations with the highest evoked spike counts, with both DTNs outperforming the non-DTN.