Data from: Autocorrelation structure at rest predicts value correlates of single neurons during reward-guided choice

Correlates of value are routinely observed in the prefrontal cortex (PFC)
during reward-guided decision making. In previous work (Hunt et al.,
2015), we argued that PFC correlates of chosen value are a consequence of
varying rates of a dynamical evidence accumulation process. Yet within
PFC, there is substantial variability in chosen value correlates across
individual neurons. Here we show that this variability is explained by
neurons having different temporal receptive fields of integration, indexed
by examining neuronal spike rate autocorrelation structure whilst at rest.
We find that neurons with protracted resting temporal receptive fields
exhibit stronger chosen value correlates during choice. Within
orbitofrontal cortex, these neurons also sustain coding of chosen value
from choice through the delivery of reward, providing a potential neural
mechanism for maintaining predictions and updating stored values during
learning. These findings reveal that within PFC, variability in temporal
specialisation across neurons predicts involvement in specific
decision-making computations.