On-line characterization of transient neuronal activity

Abstract

Characterization and control of nonlinear and non-stationary pro- cesses is an active topic in the field of the applied theory of dynamical systems. In this context classical control techniques cannot be applied straightforward, and thus observation and actuation should be properly incorporated into a real-time feedback (or closed-loop) methodology. One of the possible application scenarios of this methodology is depicted by neural activity. In this work we analyze the problem related to the first component of the real-time closed-loop technology for the case of neural activity. This being the case, be discuss different methods to classify dynamics and to detect events in a automatic and fast way.