Julien Lagarde PhD


Date of birth: 14th April 1972

Citizenship: France

Associate Professor

 Laboratory EuroMov, University Montpellier, STAPS, France

Address: 700 av. Pic St loup, Euromov, 34090 Montpellier France






·         PhD 2001 : B THON, University Paul Sabatier Toulouse, France

Sensorimotor learning, verbal instructions, language- sensorimotor interactions


·         Post-Doctorat 2002-2005 : JAS KELSO, Center for Complex Systems and Brain Sciences, Boca Raton USA

Coordination dynamics, phase transitions, EEG, multimodal dynamics, social coordination. I followed 3 years semester courses from the PhD training program in Complex Systems.


·         Post-Doctorat 2005-2008 : B BARDY, Enactive and Skills IP European projects

Skills, virtual reality, juggling pattern, transfer of skills, postural coordination dynamics


·         Habilitation 2012 : La dynamique des patrons de coordination. Mécanismes impliqués dans l’intégration multisensorielle et les interactions interpersonnelles





I investigate pattern formation/ coordination dynamics in cognition, human movement and perception.

Main topics: Multimodal coordination dynamics, Social neuroscience.



Multimodal coordination dynamics: Dynamical binding between the senses in human movements.


The brain has the fascinating capacity to put together different senses. I inquire how the senses and movements are bound together and how this ensemble evolves in time. The approach consists in seeking abrupt qualitative changes in behaviour. Why so? In the vicinity of important and sudden changes, the entire evolution of the system under consideration follows the behaviour of one or few variables; these purported variables give us all the information we need (Haken 1988; Kelso, 1995).

Coordination dynamics is a theory that seeks to explain how patterns arise and change every second and milliseconds, and how to choose the effective variables to model a complex system.


Kelso, J.A.S. (1995). Dynamic patterns: The self-organization of brain and behavior. MIT Press

Haken, H. (1988). Information and self-organization: A macroscopic approach to complex systems. Springer


Presented at: Semester on Theoretical, Mathematical and Computational Neuroscience, December 2011 CIRM - Uni Luminy – Marseille

-    Organisateurs : P. Bressloff (Uni of Utah), N. Brunel (Uni Paris 5), P. Chossat (CNRS - INRIA), O. Faugeras (ENS - INRIA),

& W. Gerstner (EPFL), V. Jirsa (CNRS - Uni de la Méditerranée), G. Deco (Univ Pompeu Fabra - ICREA)




CVitae here



Invited Conferences (Its not a lot, but I am sort of proud of it)


- J Lagarde (2016) A cross-cultural study of Plasticity- Synchronization (Euromov seminar)

- J Lagarde (2014) Multimodal coordination dynamics: A couple of years back. Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton Fl USA

- J Lagarde (2014) Pattern formation far for equilibrium in brain and behaviour: The coordination dynamics theory. Faculty of Physics, University La Havana, Cuba

- J Lagarde (2014) Social coordination: Oscillations in two interacting brains. University of Siena, Italy

- J Lagarde (2012). Pattern formation processes between individuals: Social coordination dynamics. ROMAN’ 12. Workshop on Developmental and bio-inspired approaches for social cognitive robotics September 9th 2012, Ecole des Arts et Métiers, Paris

- J Lagarde (2011). Coordination Dynamics of Multisensory Integration. Workshop on Mathematical Models of Cognitive Architectures, December 5-9, 2011. Chairs: G Deco, V Jirsa. Centre International de Rencontres Mathématiques (CIRM) Luminy, Marseille

- J Lagarde (2011) Invariant coordination patterns. A way to select functional units to train skills. Summer School Skill Learning and Virtual Environments, July 25-30th 2011, Castle of Gargonza (Arezzo, Italy)

- J Lagarde (2009). The human laws of attraction: How social interaction can spontaneously take over postural dynamics. Brain, Behavior, and Beyond: A seminar on Coordination Dynamics, 24 Avril, Chaire d’Excellence Pierre de Fermat de la Région Midi-Pyrénées Toulouse


Diffusion of Scientific knowledge


- J Lagarde (2017). Universaux des signes avant-coureurs de crise : résultats en neurosciences du mouvement humain (Montpellier Université du temps libre)

- J Lagarde (2017). De l’eau qui bout au trot qui devient galop, comment des signes universaux permettent d’anticiper des changements abrupts ? (Les jeudis de l’UM, Université de Montpellier)

- A presentation of the SKILLS IP project of the EU for the French TV show E = M6 « Incroyables talents »: The analysis of a juggling expert


Bibliometronix (scholar google): h-index and beyond


My total number of citations: 1115

My h-index: 12. ah ah ah: To get an h of 12, you need 12 citations for 12 papers, thus 144 citations...








B.G. Bardy, J. Lagarde, D. Mottet (2011). The International Conference SKILLS 2011. BIO Web of Conferences Vol. 1. Montpellier, France, December 15-16, 2011. (download free from publisher)


Learning in virtual environments (more than 100 contributions, 400 pages): Multimodal interfaces, human skills, sensorimotor learning, robot skill learning, learning from demonstration for humanoid robot. Fundamental and applied studies.

This book is the outcome of the five years SKILLS IP European project adventure (Coordinator Massimo Bergamasco, Scuola Sant’Anna, Pisa Italy).



Papers (by topics)


Social coordination


-     Tognoli, E., Lagarde J., DeGuzman, G.C., Kelso, J.A.S.  (2007). The phi complex as a neuromarker of human social coordination. Proceedings National Acad. Sci. U S A. 104, 8190–8195.


(Based on dual EEG recording, this study was Featured in Scientific American Mind, August 2007 and La Recherche, September 2007)


-  Oullier, O., Deguzman, G., Jantzen, K.J., Lagarde, J., Kelso, J.A.S. (2008). Social coordination dynamics: Measuring human bonding. Social Neuroscience, 3, 178-192.

-  Varlet, M., Marin, L., Lagarde, J., & Bardy, B.G. (2011). Social Postural Coordination. Journal of Experimental Psychology: Human Perception and Performance, 37, 473-483.

-  Filippeschi, A., Ruffaldi, E., Frisoli, A., Avizzano, C. A., Varlet, M., Marin, L., Lagarde, J., Bardy, B., Bergamasco, M. (2009). Dynamic models of team rowing for a virtual environment rowing training system. International Journal of Virtual Reality, 8, 19-26.

-  Lagarde J. (2013). Challenges for the understanding of social coordination. Frontiers in Neurobotics, 7, 1-9.

-  Bardy, B. G., Salesse, R. N., Gueugnon, M., Zhong, Z., Lagarde, J., & Marin, L. (2014). Movement similarities and differences during social interaction: The scientific foundation of the ALTEREGO European project. In Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference, pp. 772-777.


Coordination dynamics general

-  Lagarde, J., Peham, C., Licka, T., Kelso, J.A.S. (2005). The coordination dynamics of the horse-rider system. Journal of Motor Behavior, 37, 418-424.

-  Oullier O., Lagarde J., Jantzen K.J., & Kelso J.A.S. (2006). Coordination dynamics: (in)stability and metastability in the behavioural and neural systems. Société de Biologie, 200, 135-143.

-  Lagarde J., Lippi V., Ruffaldi E., Avizzano C. Bergamasco, M., Mottet D. Zelic, G. (2017, In Preparation). A fundamental approach for the training of skills using virtual reality.

-  Lagarde J. (2017). How to do things with words (only): An introduction to the role of noise in coordination dynamics without equations. arXiv:1702.02492, Neurons and Cognition (q-bio.NC). Download: https://arxiv.org/ftp/arxiv/papers/1702/1702.02492.pdf



-  Fezzani, K., Thon, B., Lagarde, J. (2000). Can different levels of S-R practice influence sequence learning? An investigation into the context of a perceptual-motor sequence learning task. Perceptual Motor Skills, 91, 463-75.

-  Lagarde, J., Li, L., Thon, B., Magill, R.A., & Erbani, E. (2002). Interactions between human explicit and implicit perceptual motor learning shown by kinematic variables. Neuroscience Letters, 327, 66-70.

-  Filippeschi, A., Ruffaldi, E., Frisoli, A., Avizzano, C.A., Varlet, M., Marin, L., Lagarde, J., Bardy, B., & Bergamasco, M. (2009). Dynamic models of team rowing for a virtual environment rowing training system. The International Journal of Virtual Reality, 8, 19-26.


Multimodal coordination: A theory of binding

-  Lagarde J., & Kelso J.A.S. (2006). The binding of movement, sound and touch: Multimodal coordination dynamics. Experimental Brain Research, 173, 673-88. 

-  Marin, L., Lagarde, J. (2007). The perception-action interaction comes first. Open peer commentary in Behavioral Brain Sciences.

-  LagardeJ., Zelic G., Mottet D. (2012). Segregated audio- tactile events destabilize the bimanual coordination of distinct rhythms. Experimental Brain Research, 219, 409-419.

-  Zelic G., Mottet D., Lagarde J. (2012). Behavioral Impact of Unisensory and Multisensory Audio-Tactile Events: Pros and Cons for Interlimb Coordination in Juggling. Plos One 7, e32308. doi:10.1371/journal.pone.0032308

-  Zelic G., Mottet D., Lagarde J. (2016). Perceptuo-motor compatibility governs multisensory integration in bimanual coordination dynamics. Experimental Brain Research, 234, 463-474.

-  Roy C., Dalla Bella S., Lagarde J. (2016). To bridge or not the time gap: Is there an optimal SOA of audio-tactile events to pace bimanual coordination? Experimental Brain Research, 235, 135-151.

-  Roy C., Lagarde J., Dotov D., Dalla Bella S. (2017, in press). Walking to a Multisensory Beat. Brain and cognition, 113, 172-183.

-  Roy C., Dalla Bella S., Lagarde J. (In preparation). The bright side of poor performance.


Postural dynamics

-  Bardy, B.G., Oullier, O., Lagarde, J., Stoffregen, T.A. (2007). On perturbation and pattern co-existence in postural coordination dynamics. Journal of Motor Behavior, 39, 326-334.

-  Varoqui, D., Bardy, B., Lagarde, J., Froger, J., Pélissier, J-Y.  (2010). Changes in spontaneous postural patterns following stroke. Gait and Posture, 32, 34-38.

-  Bonnet, V., Ramdani, S., Fraisse, P., Ramdani, N., Lagarde, J., & Bardy, B. G. (2011). A structurally optimal control model for predicting and analyzing human postural coordination. Journal of biomechanics, 44, 2123-2128.


Non linear methods


Sample entropy for biological systems

-  Ramdani, S., Bouchara, F., Lagarde, J. (2009). Influence of noise on the sample entropy algorithm. Chaos, 19, 013123.

-  Ramdani, S., Seigle, B., Lagarde, J., Bouchara, F., Bernard, P.L. (2009). On the use of sample entropy to analyze human postural sway data. Medical Engineering and Physics, 31, 1023-1031.

-  Ramdani S., Bonnet V., Tallon G., Lagarde J., Bernard P.L., Blain H. (2015). Parameters selection for bivariate multiscale entropy analysis of postural fluctuations in fallers and non-fallers older adults. IEEE Transactions on neural systems and rehabilitation engineering, 24, 859 – 871.


Recurrence plots and correlations

-  Ramdani S., Bouchara F., Lagarde J., Lesnes A. (2016). Recurrence plots of discrete-time Gaussian stochastic processes. Physica D, 330, 17-31.



Lovely quotes:


“If we knew what we were doing, it wouldn't be called research, would it?” Albert Einstein


“Sur ce dont on ne peut parler, il faut garder le silence” L. Wittgenstein, conclusion du fameux Tractatus


“Begin at the beginning,” the King said, very gravely, “and go on till you come to the end: then stop.”

L. Carroll, Alice in Wonderland


Andronov, Vitt, Khaikin, Theory of oscillators (trad.1967), 1937. Introduction :

 “The presence of fluctuations in real systems must indirectly be taken into account even in the theory of dynamic models of real systems. It is evident that since small random perturbations are inevitable in all physical systems, processes which are possible only in the absence of any random deviations or perturbations whatsoever cannot actually occur in them. Hence there arise the requirements, widely used in the theory of dynamic systems, that the processes represented by a mathematical dynamic model (and corresponding to processes taking place and observed in a real system) be stable both in relation to small variations of the coordinates and velocities and in relation to small variation in the model itself. The first requirement leads to the concept of stability of the states of equilibrium of the model and of the processes taking place in it, and the second to the necessary coarseness of dynamic systems. Statistical models are necessary for the theoretical study of the influence of fluctuations, interferences, etc. on the processes taking place in oscillatory systems. When random processes are taken into account, the motion of the system will be no longer subject to dynamic laws, but to statistical laws. In this connection questions can arise about the probability of one or other motion, of the more probable motions, and of other probability characteristics of the behaviour of the system”.