A recurrent neural network model of prefrontal brain activity during a working memory task
Fig 7
Behavioural findings from the probabilistic cue paradigm.
A. Task structure. Example valid trial (where the retro-cue and probe inputs match) shown on the left, example invalid trial shown on the right. B. Distribution of errors made by the models after convergence (dots and spikes, M±SEM) shown with a best-fit von Mises pdf (line). Performance on trials where retro-cue matched the probe (valid) shown in green, mismatch (invalid) trials shown in red. Data plotted for models trained under 2 different cue validity conditions– 75 and 50%. Note that errors were binned into 40 degree wide bins for plotting. C. Comparison of the mixture model parameters (left to right panels: K, pT, pNT and pU) across cue validity conditions (50 and 75%, corresponding to lavender triangles and orange circles, respectively) and trial types (valid, invalid; shown on the x-axis). Asterisks denote the significance levels of the post-hoc tests described in the main text: ***: p < .001, **: p < .01, ns: p > = .05. Comparisons within a validity level shown in orange and lavender, comparisons across different validity levels (but for the same trial type) denoted in black.