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!. Abney, D. H. Paxton, A. Dale, R. Kello, and C. T. , +6! 8721)01'?! 2! 1+(4)2()! 2<20$250$0)9! /,70(;! )3'! 6+,7! :''A4! +6! )3'! 87+)+1+$=! .)! )++A! ,8! )+! PB! &+()34! 6+7! 2130'<0(;! )3'! :3+$'! 87+)+1+$!6+7!)3'!"B!827)01082(, ! 6+7! 8'74+(2$! +7! 62&0$02$! 7'24+(4?! )+! 4)701)$9! 6+$$+:!)3'!), vol.7, pp.2304-2315, 2014.

C. A. Coey, A. Washburn, J. Hassebrock, and M. J. Richardson, Complexity matching effects in bimanual and interpersonal syncopated finger tapping, Neurosci. Lett, vol.616, pp.204-210, 2016.

D. Delignières, Z. M. Almurad, C. Roume, and V. Marmelat, Multifractal signatures of complexity matching, Exp. Brain Res, pp.1-13, 2016.

D. Delignières and V. Marmelat, Fractal fluctuations and complexity: current debates and future challenges, Crit. Rev. Biomed. Eng, vol.40, pp.485-500, 2012.

D. Delignières and V. Marmelat, Strong anticipation and long-range cross-correlation: Application of detrended cross-correlation analysis to human behavioral data, Phys. Stat. Mech. Its Appl, vol.394, pp.47-60, 2014.

D. Delignieres, S. Ramdani, L. Lemoine, K. Torre, M. Fortes et al., Fractal analyses for "short" time series: A re-assessment of classical methods, J. Math. Psychol, vol.50, pp.525-544, 2006.

R. J. Den-hartigh, V. Marmelat, and R. F. Cox, Multiscale coordination between athletes: Complexity matching in ergometer rowing, Hum. Mov. Sci, vol.57, pp.434-441, 2018.

J. M. Fine, A. D. Likens, E. L. Amazeen, and P. G. Amazeen, Emergent Complexity Matching in Interpersonal Coordination: Local Dynamics and Global Variability, J. Exp. Psychol. Hum. Percept. Perform, 2015.

A. L. Goldberger, L. A. Amaral, J. M. Hausdorff, P. C. Ivanov, C. K. Peng et al., Fractal dynamics in physiology: Alterations with disease and aging, Proc. Natl. Acad. Sci. U. S. A, vol.99, pp.2466-2472, 2002.

A. L. Goldberger, C. K. Peng, and L. A. Lipsitz, What is physiologic complexity and how does it change with aging and disease?, Neurobiol. Aging, vol.23, pp.23-26, 2002.

J. M. Hausdorff, Y. Ashkenazy, C. K. Peng, P. C. Ivanov, H. E. Stanley et al., When human walking becomes random walking: fractal analysis and modeling of gait rhythm fluctuations, Phys. -Stat. Mech. Its Appl, vol.302, pp.138-147, 2001.

J. M. Hausdorff, S. L. Mitchell, R. Firtion, C. K. Peng, M. E. Cudkowicz et al.,

, Altered fractal dynamics of gait: Reduced stride-interval correlations with aging and Huntington's disease, J. Appl. Physiol, vol.82, pp.262-269

J. M. Hausdorff, C. Peng, Z. Ladin, J. Wei, and A. Goldberger, Is Walking a Random-Walk -Evidence for Long-Range Correlations in Stride Interval of Human Gait, 1995.

, Appl. Physiol, vol.78, pp.349-358

J. M. Hausdorff, P. L. Purdon, C. K. Peng, Z. Ladin, J. Y. Wei et al., Fractal dynamics of human gait: Stability of long-range correlations in stride interval fluctuations, J. Appl. Physiol, vol.80, pp.1448-1457, 1996.

J. W. Kantelhardt, S. A. Zschiegner, E. Koscielny-bunde, S. Havlin, A. Bunde et al., Multifractal detrended fluctuation analysis of nonstationary time series, Phys. -Stat. Mech. Its Appl, vol.316, pp.87-114, 2002.

I. Konvalinka, P. Vuust, A. Roepstorff, and C. D. Frith, Follow you, follow me: Continuous mutual prediction and adaptation in joint tapping, Q. J. Exp. Psychol, vol.63, pp.2220-2230, 2010.

L. Lipsitz and A. Goldberger, Loss of Complexity and Aging -Potential Applications of Fractals and Chaos Theory to Senescence, Jama-J. Am. Med. Assoc, vol.267, pp.1806-1809, 1992.

K. Mahmoodi, B. J. West, and P. Grigolini, On the Dynamical Foundation of Multifractality. ArXiv170705988 Nlin, 2017.

V. Marmelat and D. Delignières, Strong anticipation: complexity matching in interpersonal coordination, Exp. Brain Res, vol.222, pp.137-148, 2012.

V. Marmelat, D. Delignières, K. Torre, P. J. Beek, and A. Daffertshofer, Human paced" walking: Followers adopt stride time dynamics of leaders, Neurosci. Lett, vol.564, pp.67-71, 2014.

C. K. Peng, S. V. Buldyrev, S. Havlin, M. Simons, H. E. Stanley et al., Mosaic Organization of Dna Nucleotides, Phys. Rev. E, vol.49, pp.1685-1689, 1994.

C. K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger, Quantification of Scaling Exponents and Crossover Phenomena in Nonstationary Heartbeat Time-Series, Chaos, vol.5, pp.82-87, 1995.

B. Podobnik and H. E. Stanley, Detrended cross-correlation analysis: A new method for analyzing two nonstationary time series, Phys. Rev. Lett, vol.100, p.84102, 2008.

C. Roume, Z. M. Almurad, M. Scotti, S. Ezzina, H. Blain et al., , 2018.

, Windowed detrended cross-correlation analysis of synchronization processes, Phys. -Stat. Mech. Its Appl, vol.503, pp.1131-1150

R. Sleimen-malkoun, J. Temprado, and S. L. Hong, Aging induced loss of complexity and dedifferentiation: consequences for coordination dynamics within and between brain, muscular and behavioral levels, Front. Aging Neurosci, vol.6, p.140, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01785469

D. G. Stephen and J. A. Dixon, Strong anticipation: Multifractal cascade dynamics modulate scaling in synchronization behaviors, Chaos Solitons Fractals, vol.44, pp.160-168, 2011.

D. G. Stephen, N. Stepp, J. A. Dixon, and M. T. Turvey, Strong anticipation: long-range correlations in synchronization behavior, Phys. Stat. Mech. Its Appl, vol.387, pp.5271-5278, 2008.

K. Torre, M. Varlet, and V. Marmelat, Predicting the biological variability of environmental rhythms: Weak or strong anticipation for sensorimotor synchronization? Brain Cogn, vol.83, pp.342-350, 2013.

D. E. Vaillancourt and K. M. Newell, Changing complexity in human behavior and physiology through aging and disease, Neurobiol. Aging, vol.23, pp.1-11, 2002.

G. C. Van-orden, M. A. Moreno, and J. G. Holden, A proper metaphysics for cognitive performance, Nonlinear Dyn. Psychol. Life Sci, vol.7, pp.49-60, 2003.

T. Warlop, C. Detrembleur, M. Buxes-lopez, G. Stoquart, T. Lejeune et al., Does Nordic Walking restore the temporal organization of gait variability in Parkinson's disease?, J. NeuroEngineering Rehabil, vol.14, 2017.

B. J. West, E. L. Geneston, and P. Grigolini, Maximizing information exchange between complex networks, Phys. Rep.-Rev. Sect. Phys. Lett, vol.468, pp.1-99, 2008.
DOI : 10.1016/j.physrep.2008.06.003

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