Fig. 4: Representation and integration of visual evidence in association and premotor areas emerges with learning.
From: Brain-wide dynamics linking sensation to action during decision-making
a, Schematic of stimulus presentation with random reward delivery used for recordings in untrained mice (Methods). b, Brain maps of unit counts recorded from untrained mice. IRI, inter-reward interval. c, Examples of top two (lowest P value) fast TF-responsive neurons in trained mice (solid lines) or untrained mice (dashed lines) in SCs, VISp, MOs, CP, SIM, DG, MRN and in the orofacial motor nucleus. Norm., normalized. d, Percentage TF-responsive units in all brain areas with more than 40 neurons recorded in both trained and untrained mice. e, Focality index of distribution of TF-responsive units across areas with more than 40 neurons recorded in both untrained and trained mice. In untrained mice, TF-responsive units were confined to a much more limited set of brain regions, compared to trained mice, leading to a significantly higher focality index (n = 24 overlapping brain regions; P < 0.001, bootstrap test (Methods)). Error bars show 95% confidence intervals (Methods). f, Examples of autocorrelation functions from which intrinsic timescales are estimated (that is, τ of decay of autocorrelation function). Error bars are 95% bootstrapped confidence intervals. g, Pearson correlation (P value based on t-statistic) between intrinsic timescales and median half-peak width of responses to a fast TF pulse for all TF-responsive neurons across the brain of trained mice. h, Pearson correlation (P value based on t-statistic) between intrinsic timescales in untrained mice and trained mice. i, Brain maps of intrinsic timescales of trained mice (left) and untrained mice (right). See Supplementary Table 2 for definitions of brain region abbreviations.
