  This paper builds a rule for decisionmaking from the physical behavior of
single neurons, the well established neural circuitry of mutual inhibition, and
the evolutionary principle of natural selection. No axioms are used in the
derivation of this rule. The paper provides a microfoundation to both Economics
Choice Theory and Cognitive Psychologys Response Times Theory. The paper finds
how classical expected utility should be modified to account for much
neuroscientific evidence, and how neuroscientific correlates of choice should
be linked to utility. In particular, the model implies the concept of utility
is a network property and cannot be calculated as a function of frequencies in
one layer of neurons alone; it requires understanding how different layers work
together. The resulting rule is simple enough to model markets and games as is
customary in the social sciences. Utility maximization and inaction are
endogenous to the model, cardinality and independence of irrelevant
alternatives, properties present in classical and random utility theories, are
only met in limiting situations.
