Title :
Feedback control of the spatiotemporal firing patterns of neural microcircuits
Author :
Liu, Jianbo ; Oweiss, Karim G. ; Khalil, Hassan K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
One of the fundamental objectives in systems neuroscience is to precisely control the spatiotemporal firing of cortical neurons to elicit a desired pattern of activity. In this work, we study the effects of intracortical micro-stimulation on the dynamics of a basal ganglia microcircuit model, and explore the feasibility of controlling the spatiotemporal firing patterns of the population in the presence of unobserved inputs. Results from the simulation study suggest that properly designed Multiple-Input-Multiple-Output (MIMO) feedback controller can force a subpopulation of output neurons to follow a prescribed spatiotemporal firing pattern despite the presence of unobserved inputs. The accuracy of the spike timing of the controlled neural firing with respect to the reference spike trains is in the order of tens of milliseconds. Even a simplified circuit model of Hammerstein-Wiener type can help in prescreening potential stimulation sites and analyzing the nominal stability of the closed-loop system.
Keywords :
MIMO systems; closed loop systems; control system synthesis; feedback; integrated circuits; neural nets; neuromuscular stimulation; spatiotemporal phenomena; Hammerstein-Wiener type model; MIMO feedback controller; basal ganglia microcircuit model; closed loop system; cortical neuron; feedback control; intracortical microstimulation; multiple-input multiple-output feedback controller design; neural microcircuit; neuroscience; spatiotemporal firing pattern; Analytical models; Integrated circuit modeling; MIMO; Mathematical model; Neurons; Spatiotemporal phenomena; Stability analysis;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5716928