H32: Brain connectivity and neuronal system identification: theory and applications to brain state decoding.

Paper Submission for H32

SMC2018:H32 submission site (external site)


Advancing our ability to infer the structure, function, and dynamics of brain networks and their relation to human cognition and behavior is of key importance to understanding, and interfacing with, the brain. Network interactions are posited to play critical roles in cognitive and affective state maintenance, sensory information processing, motor control, and the conscious experience, while abnormalities in neuronal connectivity have been increasingly linked to brain dysfunction. In this special session we will discuss approaches to modeling and inferring brain connectivity and neuronal system dynamics, as well as the use of these methods to predict behavior, decode neural states, and for closed-loop brain-machine interfacing.

Session Chairs