Perception involves two types of decisions about the sensory world:
identification of stimulus features as analog quantities, or discrimination of
the same stimulus features among a set of discrete alternatives. Veridical
judgment and categorical discrimination have traditionally been conceptualized
as two distinct computational problems. Here, we found that these two types of
decision making can be subserved by a shared cortical circuit mechanism. We used
a continuous recurrent network model to simulate two monkey experiments in which
subjects were required to make either a two-alternative forced choice or a
veridical judgment about the direction of random-dot motion. The model network
is endowed with a continuum of bell-shaped population activity patterns, each
representing a possible motion direction. Slow recurrent excitation underlies
accumulation of sensory evidence, and its interplay with strong recurrent
inhibition leads to decision behaviors. The model reproduced the
monkey's performance as well as single-neuron activity in the
categorical discrimination task. Furthermore, we examined how direction
identification is determined by a combination of sensory stimulation and
microstimulation. Using a population-vector measure, we found that direction
judgments instantiate winner-take-all (with the population vector coinciding
with either the coherent motion direction or the electrically elicited motion
direction) when two stimuli are far apart, or vector averaging (with the
population vector falling between the two directions) when two stimuli are close
to each other. Interestingly, for a broad range of intermediate angular
distances between the two stimuli, the network displays a mixed strategy in the
sense that direction estimates are stochastically produced by winner-take-all on
some trials and by vector averaging on the other trials, a model prediction that
is experimentally testable. This work thus lends support to a common
neurodynamic framework for both veridical judgment and categorical
discrimination in perceptual decision making