Literature DB >> 16614837

Control of neuronal synchrony by nonlinear delayed feedback.

Oleksandr V Popovych1, Christian Hauptmann, Peter A Tass.   

Abstract

We present nonlinear delayed feedback stimulation as a technique for effective desynchronization. This method is intriguingly robust with respect to system and stimulation parameter variations. We demonstrate its broad applicability by applying it to different generic oscillator networks as well as to a population of bursting neurons. Nonlinear delayed feedback specifically counteracts abnormal interactions and, thus, restores the natural frequencies of the individual oscillatory units. Nevertheless, nonlinear delayed feedback enables to strongly detune the macroscopic frequency of the collective oscillation. We propose nonlinear delayed feedback stimulation for the therapy of neurological diseases characterized by abnormal synchrony.

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Year:  2006        PMID: 16614837     DOI: 10.1007/s00422-006-0066-8

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  27 in total

1.  Engineering the synchronization of neuron action potentials using global time-delayed feedback stimulation.

Authors:  Craig G Rusin; Sarah E Johnson; Jaideep Kapur; John L Hudson
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-12-06

2.  Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.

Authors:  Peter Ashwin; Stephen Coombes; Rachel Nicks
Journal:  J Math Neurosci       Date:  2016-01-06       Impact factor: 1.300

3.  Impact of nonlinear delayed feedback on synchronized oscillators.

Authors:  Oleksandr V Popovych; Christian Hauptmann; Peter A Tass
Journal:  J Biol Phys       Date:  2008-05-14       Impact factor: 1.365

4.  Fine temporal structure of beta oscillations synchronization in subthalamic nucleus in Parkinson's disease.

Authors:  Choongseok Park; Robert M Worth; Leonid L Rubchinsky
Journal:  J Neurophysiol       Date:  2010-02-24       Impact factor: 2.714

5.  Suppressing bursting synchronization in a modular neuronal network with synaptic plasticity.

Authors:  JiaYi Wang; XiaoLi Yang; ZhongKui Sun
Journal:  Cogn Neurodyn       Date:  2018-08-12       Impact factor: 5.082

6.  Minimum energy desynchronizing control for coupled neurons.

Authors:  Ali Nabi; Mohammad Mirzadeh; Frederic Gibou; Jeff Moehlis
Journal:  J Comput Neurosci       Date:  2012-08-18       Impact factor: 1.621

7.  Pathological tremor prediction using surface electromyogram and acceleration: potential use in 'ON-OFF' demand driven deep brain stimulator design.

Authors:  Ishita Basu; Daniel Graupe; Daniela Tuninetti; Pitamber Shukla; Konstantin V Slavin; Leo Verhagen Metman; Daniel M Corcos
Journal:  J Neural Eng       Date:  2013-05-08       Impact factor: 5.379

8.  Generic stabilizability for time-delayed feedback control.

Authors:  J Sieber
Journal:  Proc Math Phys Eng Sci       Date:  2016-05       Impact factor: 2.704

Review 9.  Systems approaches to optimizing deep brain stimulation therapies in Parkinson's disease.

Authors:  Sabato Santaniello; John T Gale; Sridevi V Sarma
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-03-20

10.  A generic framework for real-time multi-channel neuronal signal analysis, telemetry control, and sub-millisecond latency feedback generation.

Authors:  Christoph Zrenner; Danny Eytan; Avner Wallach; Peter Thier; Shimon Marom
Journal:  Front Neurosci       Date:  2010-10-21       Impact factor: 4.677

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