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Mathematical analysis of decision making.
Time point of decision making.
(Table 4) Time point of decision making.
Dynamic representation of decision-making.
Increase transparency and accountability of decision-making.
Use of science in decision making.
The present findings indicate sparseness performs a similar function in single aneural cells by tuning the size and density of encoded computational architectures useful for decision making in social contexts.
The connection between the IPL and cerebellar regions suggests that the IPL may receive cerebellar error signals that support the rapid, continual fine-tuning of control settings and decision making.
Decision theoretic approach: in decision making mathematical formulations, the outcome of a decision is not known.
A perfect example of shared decision making.
Journal of Behavioral Decision Making.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com