Optimal stimulus scheduling for active estimation of evoked brain networks.

Journal: Journal of neural engineering
Published Date:

Abstract

OBJECTIVE: We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures an input-output relationship between sites in sensor/actuator-space, is relevant to emerging applications in neural mapping and neural connectivity estimation.

Authors

  • MohammadMehdi Kafashan
    Department of Electrical and Systems Engineering, Washington University in St. Louis, MO 63130, USA.
  • ShiNung Ching