Optimal Control Strategies for the Restoration of Function Using Neuromodulation Systems

A special issue of Brain Sciences (ISSN 2076-3425).

Deadline for manuscript submissions: closed (15 February 2017) | Viewed by 528

Special Issue Editors

Department of Neurologic Surgery, Mayo Clinic, Rochester, MN 55905, USA
Interests: neuromodulation; control strategies; optimization; neural function; neuroprostheses; computational modeling; deep brain stimulation
Special Issues, Collections and Topics in MDPI journals
Department of Biomedical Engineering, Department of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Science, State University of New York, University at Buffalo, Buffalo, NY 14260, USA
Interests: biosignals processing and human motor control; electrical neuromodulation devices; gait biomechanics and dynamics; clinical neurophysiology and computational neurosciences
Director of Research, Cardionomic, Inc., Forest Lake, MN 55025, USA
Interests: neuromodulation; autonomic nervous system; cardiovascular disorders

Special Issue Information

Dear Colleagues,

The availability of techniques to artificially excite neural systems opens up enormous potential for restoring motor, cognitive, and autonomic function using neuromodulation systems. Control of these functions involves identification of suitable configurations, amplitudes, durations, and temporal patterns of stimulation that result in desired effects. In addition to stimulating brain cells, nerves, and muscles, these neuromodulation systems, also known as neuroprostheses, must take on other tasks typically performed by the nervous system to both control and regulate function. Additionally, optimal control strategies must account for unanticipated perturbations and changes in the environment to allow for optimal effects to be sustained. Thus, development of smart, automated control strategies capable of dynamically adjusting stimulation parameters in response to a changing environment becomes critical for improving the therapeutic efficacy of neuromodulation systems.

This research topic features original research aimed at developing models and signal classification techniques for implementing optimal control strategies that can restore functional loss and restore neural balance under various disease states while adapting to dynamic environments. The main focus of this research topic is on recent advances representative of a diverse set of control approaches that will likely be necessary for creating the next-generation of neuromodulation systems.

Dr. Jose Luis Lujan
Dr. Anirban Dutta
Dr. Juan Gabriel Hincapie
Guest Editor

Manuscript Submission Information

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Keywords

  • neuromodulation
  • control strategies
  • optimization
  • neural function
  • neuroprostheses

Published Papers

There is no accepted submissions to this special issue at this moment.
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