PIC*
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
http://euromov.eu/accueil/
Education
·
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
A huge
dive into Coordination dynamics, phase transitions, EEG, multimodal dynamics,
social coordination. I was lucky to attend several full semester courses from
the PhD training program in Complex Systems: Time series analysis (Steve Bressler), Dynamical systems (Richard Voss), Theoretical
neurosciences (Viktor Jirsa), Stochastic processes
(Viktor Jirsa).
·
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.
Research
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
Invited
Conferences
- J Lagarde (2019). One model to rule them
all? Sensorimotor synchronization facing crosscultural
challenge. Department of Music, Durham University UK
- 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 (2018). La synchronisation dans tous ses
états (Les jeudis de l’UM, Université de Montpellier)
- 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
Citations: 1569, h-index: 14. To get an h of 14, you
need 14 citations x 14 papers, thus 196 citations...
Publications
Books
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.
- Lagarde J. Bouisset N. (2019; preprint). When
is now in a distributed system? Animated motion (could) set the present in
brain networks. arXiv:1905.13065, Neurons and Cognition.
Learning
- 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). Walking
to a Multisensory Beat. Brain and cognition, 113, 172-183.
- Roy C., Dalla Bella S., Lagarde J.
(2019). Multisensory
Integration and Behavioral Stability. Psychological Research (in Press).
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”.