… Considering that controllability did not affect value learning but affected the utilization of
the value (value-dependent decision making) in our computational model, we expected that …

… Using model-based fMRI, our findings revealed the existence of two distinct valuation
systems operating when the decision maker faces two types of trade-off computations involving …

… of the spiking HMAX model and the decision-making model. Unlike the previous studies,
this work investigated the mechanisms of feedforward object recognition. Their findings …

… The difficulty of decision making in an MDP is the complex sequential interactions between
multiple actions and states in producing rewards. (Think of a series of moves in a chess game…

… neurocomputational account to the observation that humans have difficulties mimicking the
financial decisions … of relevant brain regions for financial decision making such as the action-…

… neurocomputational model (VS-BIND: “Vector-symbolic Sequencing of Binding INstantiating
Dependencies”), triangulating evidence to clarify putative mechanisms … neurocomputational …

Sequential decision making under uncertainty is a ubiquitous aspect of human behaviour.
For example, when trying to locate the source of radioactive decontamination, one will …

… from optimality considerations, and a neurocomputational approximation to the optimal model…
In the neurocomputational model, the limbic loop comprising anterior cingulate cortex (ACC…

… Together, this work provides a neurocomputational account of how people learn for others
when required to consider how a single choice will affect themselves and someone else. …