Michigan State University - Research Groups

A fundamental goal in systems neuroscience is to understand
the mechanisms underlying the distributed nature
of sensorimotor encoding by populations of neurons. In
this work, we examine to what extent the existence of taskdependent
functional connectivity between cortical neurons
plays a role in encoding task information. To identify
the functional connectivity, we used Dynamic Bayesian
Networks (DBN) that fit a probabilistic model to spike
train data. We demonstrate that the inferred functional
connectivity is consistently similar across repeated trials of
the same task while consistently different across different
tasks.