  The structure of the basal ganglia is remarkably similar across a number of
species (often described in terms of direct, indirect and hyperdirect pathways)
and is deeply involved in decision making and action selection. In this
article, we are interested in exploring the role of structure when solving a
decision task while avoiding to make any strong assumption regarding the actual
structure. To do so, we exploit the echo state network paradigm that allows to
solve complex task based on a random architecture. Considering a temporal
decision task, the question is whether a specific structure allows for better
performance and if so, whether this structure shares some similarity with the
basal ganglia. Our results highlight the advantage of having a slow (direct)
and a fast (hyperdirect) pathway that allows to deal with late information
during a decision making task.
