The framework explored here allows users to analyze storage and computational costs of information gathering as a function of information granularity and then assesses the potential value of decision process reconstructions.
These studies conclude that attention to a particular reward augments the propensity to choose that reward by ∼10%, while some central value-based decision process accounts for the remaining variance in choice/preference.
Thus reward neurons code subjective rather than objective reward value in temporal discounting and thus may provide direct inputs for neuronal mechanisms underlying value based decision processes.
To utilize this value in the decision process, the mood of the music being played should be determined in advance, as follows: m ^ = arg max m R music m, m = 1, 2,..., M (3).
The ML estimate is based on the assumption that a higher-level neuronal population computes the different probabilities of observing the activity profile in MT/V5 for different possible input values and the decision process simply reads-out the stimulus value with the highest probability (e.g. Jazayeri and Movshon 2006).
These results support our suggestion that central value-based decision processes may play a more substantial role.
It is important to note, that our sample (i.e. social drinkers) does not allow identification of the relative importance of attentional and value-based decision processes in dependent drinkers.
Although we would suggest that our data highlight attentional selection as secondary to central value-based decision processes in mediating choice behaviour, more work is needed to identify which aspects of the cue and the reward determine choice.
In this paper, we develop and employ a value-focused structured decision process for a negotiation analysis about mechanisms to maintain and enhance ecosystem service (ES) provision at the watershed scale.
Finally, the arrow leaving from the box 'Semantic frame structure' indicates that the semantic structure is superimposed on slot value activations as a decision process where groups of slot values are compared and related to each other (cf. the section 'Decision process').
