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We discuss how distributed delays arise in biological models and review the
literature on such models. We indicate why it is important to keep the
distributions in a model as general as possible. We then demonstrate, through
the analysis of a particular example, what kind of information can be gained
with only minimal information about the exact distribution of delays.
In particular we show that a stability region may
be obtained in a similar way that delay independent results are obtained for
systems...
Computational models for human decision making are typically based on the properties of bistable dynamical systems where each attractor represents a different decision. A limitation of these models is that they do not readily account for the fragilities of human decision making, such as “choking under pressure”, indecisiveness and the role of past experiences on current decision making. Here we examine the dynamics of a model of two interacting neural populations with mutual time–delayed inhibition....
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