@inproceedings{6e5c2debbe244cefad5465b7262c9286,
title = "Control of a network of spiking neurons",
abstract = "Systems consisting of a large number of coupled or decoupled oscillators with different natural oscillation frequencies have been a subject of scientific interest. In this article, we study the problem of simultaneous control of a network of spiking neurons characterized by different natural dynamics. The evolution of such neuron systems is described by phase-reduced models. We investigate controllability properties of such neuron systems for various phase models and present a robust computational method for optimal control of neurons based on pseudospectral approximations.",
author = "Li, {Jr Shin}",
note = "Funding Information: ★ The work was supported in part by the NSF under the Career Award (#0747877) and the AFOSR Young Investigator Program (#60126).",
year = "2010",
doi = "10.3182/20100901-3-IT-2016.00265",
language = "English",
isbn = "9783902661807",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "14",
pages = "314--319",
booktitle = "8th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2010",
edition = "14",
}