Extended Data Fig. 2: Correlations between all neurochemicals and a range of behavioural factors.

Bars represent R² values for linear tests between each analyte (rows) and behavioural covariates (columns). In models with more than one covariate, bar length indicates the R² for the full model. Negative relationships are reported in blue and positive relationships are in red. P values are reported at three alpha levels (0.05, 0.0005 and 0.000005) after Bonferroni correction for multiple comparisons (7 subregions × 21 analytes × 12 measures). To calculate reward rate, we averaged the leaky-integrator-estimated reward rate in 1-min bins defined by the start and end of each dialysis sample. ‘Attempts’ is the number of initiated trials (including trials that resulted in an error) in each dialysis minute. Attempts and reward rate and an interaction term were combined in a single model (column 2) to examine whether adding attempts could explain additional variance in the analyte signal that could not be explained by reward rate alone. ‘Latency’ is the average of the (log) latency in each minute. ‘Exploit’ is the proportion of choices of the higher reward probability option, in the last half of blocks for which the two ports had different probabilities. ‘Rewards’ and ‘omissions’ were defined as the number of rewarded and unrewarded trials in each minute, respectively. ‘Cumulative rewards’ and ‘time’ were included in the same regression model to estimate progressive factors such as satiety, and possible slow timescale increases or decreases in analyte concentration across the session. Cumulative rewards represents the total number of rewards received by the end of the current dialysis minute, and time was simply the number of minutes elapsed since the session began. Bars in this column show colour when only the coefficient for the cumulative reward variable was significant. %Ipsi and %Contra represent the fraction of choices to ipsi- or contra-versive ports (relative to probe location in the brain) in each minute, independent of block probability. P(win-stay) is the probability of repeating the previous choice, given the previous choice was rewarded.