Human Dynamics in Decision Making

Have thought that we need better understanding of our decision making, at least if we believe in useful biomimicry to build intelligent systems.   Here an interesting, if very technical piece.   Can we use some ideas here to model and improve such systems?     Note that it starts with the statement that we do not understand the processing steps that lead to a decision. In Nature.

Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task
Marije ter Wal, Artem Platonov, Pasquale Cardellicchio, Veronica Pelliccia, Giorgio LoRusso, Ivana Sartori, Pietro Avanzini, Guy A. Orban & Paul H. E. Tiesinga 
Nature Communications volume 11, Article number: 3075 (2020) 

Abstract
The processing steps that lead up to a decision, i.e., the transformation of sensory evidence into motor output, are not fully understood. Here, we combine stereoEEG recordings from the human cortex, with single-lead and time-resolved decoding, using a wide range of temporal frequencies, to characterize decision processing during a rule-switching task. Our data reveal the contribution of rostral inferior parietal lobule (IPL) regions, in particular PFt, and the parietal opercular regions in decision processing and demonstrate that the network representing the decision is common to both task rules. We reconstruct the sequence in which regions engage in decision processing on single trials, thereby providing a detailed picture of the network dynamics involved in decision-making. The reconstructed timeline suggests that the supramarginal gyrus in IPL links decision regions in prefrontal cortex with premotor regions, where the motor plan for the response is elaborated. ... "