Control Theory for Closed-Loop Neurophysiology

G. Kumar; J. T. Ritt; S. Ching

doi:10.1016/B978-0-12-802452-2.00003-2

Control Theory for Closed-Loop Neurophysiology

G. Kumar, J. T. Ritt, S. Ching

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

This chapter presents an overview of emerging research problems at the boundary between control engineering and neuroscience, toward implementation of closed-loop paradigms for modulating brain activity. Emphasis will be placed on both recent theoretical developments-eg, system identification and controllability in neuronal networks-and real-world constraints in applications such as clinical deep brain stimulation, or optical stimulation in experimental neuroscience. Discussion will extend to how these constraints may necessitate the development of entirely new paradigms in systems and control theory that respond to the unprecedented challenges facing neuroscientists and neural engineers.

Original language	English
Title of host publication	Closed Loop Neuroscience
Publisher	Elsevier Inc.
Pages	35-52
Number of pages	18
ISBN (Electronic)	9780128026410
ISBN (Print)	9780128024522
DOIs	https://doi.org/10.1016/B978-0-12-802452-2.00003-2
State	Published - Sep 29 2016

Keywords

Closed-loop neurophysiology
Deep brain stimulation
Dynamical systems models
Hodgkin-Huxley model
Neural control
Neurostimulation

Access to Document

10.1016/B978-0-12-802452-2.00003-2

Cite this

@inbook{bd1d5abb8c7a44a18a3214edf1318c81,

title = "Control Theory for Closed-Loop Neurophysiology",

abstract = "This chapter presents an overview of emerging research problems at the boundary between control engineering and neuroscience, toward implementation of closed-loop paradigms for modulating brain activity. Emphasis will be placed on both recent theoretical developments-eg, system identification and controllability in neuronal networks-and real-world constraints in applications such as clinical deep brain stimulation, or optical stimulation in experimental neuroscience. Discussion will extend to how these constraints may necessitate the development of entirely new paradigms in systems and control theory that respond to the unprecedented challenges facing neuroscientists and neural engineers.",

keywords = "Closed-loop neurophysiology, Deep brain stimulation, Dynamical systems models, Hodgkin-Huxley model, Neural control, Neurostimulation",

author = "G. Kumar and Ritt, {J. T.} and S. Ching",

year = "2016",

month = sep,

day = "29",

doi = "10.1016/B978-0-12-802452-2.00003-2",

language = "English",

isbn = "9780128024522",

pages = "35--52",

booktitle = "Closed Loop Neuroscience",

publisher = "Elsevier Inc.",

}

TY - CHAP

T1 - Control Theory for Closed-Loop Neurophysiology

AU - Kumar, G.

AU - Ritt, J. T.

AU - Ching, S.

PY - 2016/9/29

Y1 - 2016/9/29

N2 - This chapter presents an overview of emerging research problems at the boundary between control engineering and neuroscience, toward implementation of closed-loop paradigms for modulating brain activity. Emphasis will be placed on both recent theoretical developments-eg, system identification and controllability in neuronal networks-and real-world constraints in applications such as clinical deep brain stimulation, or optical stimulation in experimental neuroscience. Discussion will extend to how these constraints may necessitate the development of entirely new paradigms in systems and control theory that respond to the unprecedented challenges facing neuroscientists and neural engineers.

AB - This chapter presents an overview of emerging research problems at the boundary between control engineering and neuroscience, toward implementation of closed-loop paradigms for modulating brain activity. Emphasis will be placed on both recent theoretical developments-eg, system identification and controllability in neuronal networks-and real-world constraints in applications such as clinical deep brain stimulation, or optical stimulation in experimental neuroscience. Discussion will extend to how these constraints may necessitate the development of entirely new paradigms in systems and control theory that respond to the unprecedented challenges facing neuroscientists and neural engineers.

KW - Closed-loop neurophysiology

KW - Deep brain stimulation

KW - Dynamical systems models

KW - Hodgkin-Huxley model

KW - Neural control

KW - Neurostimulation

UR - http://www.scopus.com/inward/record.url?scp=85022030298&partnerID=8YFLogxK

U2 - 10.1016/B978-0-12-802452-2.00003-2

DO - 10.1016/B978-0-12-802452-2.00003-2

M3 - Chapter

AN - SCOPUS:85022030298

SN - 9780128024522

SP - 35

EP - 52

BT - Closed Loop Neuroscience

PB - Elsevier Inc.

ER -

Control Theory for Closed-Loop Neurophysiology

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this