NDLI: Towards model-based control of Parkinson's disease: A perspective

Content Provider	IEEE Xplore Digital Library
Author	Schiff, S.J.
Copyright Year	2011
Description	Author affiliation: Center for Neural Engineering, and Departments of Engineering Science and Mechanics, Neurosurgery, and Physics, of the Pennsylvania State University, University Park, 16802, USA (Schiff, S.J.)
Abstract	Since the 1950s, we have developed mature theories of modern control theory and computational neuroscience with almost no interaction between these disciplines. With the advent of computationally efficient nonlinear Kalman filtering techniques, along with improved neuroscience models that provide increasingly accurate reconstruction of dynamics in a variety of important normal and disease states in the brain, the prospects for a synergistic interaction between these fields are now strong. I show recent examples of the use of nonlinear control theory for the assimilation and control of single neuron and network dynamics, as well as the modulation of oscillatory waves in the cortex, and the assimilation of epileptic seizures. A control framework for modulating Parkinsonian dynamics is presented, and a perspective offered. As the computational models of dynamical diseases such as Parkinson's disease improve, embedding those models within rigorous model-based control frameworks is now feasible.
Starting Page	6487
Ending Page	6491
File Size	152356
Page Count	5
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160870
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Brain models Biological system modeling Neurons Computational modeling Spatiotemporal phenomena
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease

A novel approach to model error modelling using the expectation-maximization algorithm

Feedback control of the spatiotemporal firing patterns of neural microcircuits

Conductance-based computational model of basal ganglia

Kalman filter tracking of intracellular neuronal voltage and current

Mode Detection in switched pursuit tracking tasks: Hybrid estimation to measure performance in Parkinson's disease

Spatiotemporal simulation of a single living cell

Parameter identification of biological networks using extended Kalman filtering and $χ^{2}$ criteria

Quadratic filtering of non-Gaussian systems with intermittent observations

Towards model-based control of Parkinson's disease: A perspective

Similar Documents

Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease

A novel approach to model error modelling using the expectation-maximization algorithm

Feedback control of the spatiotemporal firing patterns of neural microcircuits

Conductance-based computational model of basal ganglia

Kalman filter tracking of intracellular neuronal voltage and current

Mode Detection in switched pursuit tracking tasks: Hybrid estimation to measure performance in Parkinson's disease

Spatiotemporal simulation of a single living cell

Parameter identification of biological networks using extended Kalman filtering and $χ^{2}$ criteria

Quadratic filtering of non-Gaussian systems with intermittent observations

Towards model-based control of Parkinson's disease: A perspective