Adaptation; Excitability; Homeostasis; Neural circuits; Neuromodulation; Robustness; Instrumentation; Control and Optimization
Abstract :
[en] This tutorial provides an introduction to the topic of neuromodulation as an important control paradigm for natural and artificial neuronal networks. We review how neuromodulation modulates excitability, and how neuromodulation interacts with homeostasis. We stress how modulating nodal excitability provides a robust and versatile control principle to dynamically reconfigure the connectivity of rhythmic circuits and to shape the spatio-temporal synchrony of large populations.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Sepulchre, Rodolphe; Control Group, University of Cambridge, Cambridge, United Kingdom
O'Leary, Timothy; Control Group, University of Cambridge, Cambridge, United Kingdom
Drion, Guillaume ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Systèmes et modélisation
Franci, Alessio ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Brain-Inspired Computing ; Science Faculty, National Autonomous University of Mexico, Coyoacàn, D.F., Mexico
Language :
English
Title :
Control by neuromodulation: A tutorial
Publication date :
June 2019
Event name :
2019 18th European Control Conference (ECC)
Event place :
Naples, Ita
Event date :
25-06-2019 => 28-06-2019
Audience :
International
Main work title :
2019 18th European Control Conference, ECC 2019
Publisher :
Institute of Electrical and Electronics Engineers Inc.
TO and RS are with the Control Group at the Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom. {timothy.oleary, r.sepulchre}@eng.cam.ac.uk. GD is with the Institut Montefiore, Universite de Liege, 4000 Liege Sart-Tilman, Belgium. AF is with National Autonomous University of Mexico, Science Faculty, Department of Mathematics, Coyoacán, D.F. México. afranci@ciencias.unam.mx The research leading to these results has received funding from the European Research Council under the Advanced ERC Grant Agreement Switchlet n.670645.
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