T. Telfer, H. Atkin, and R. Corner, Review of environmental impact assessment and monitoring in aquaculture in europe and north america, " in Environmental impact assessment and monitoring in aquaculture, ser. Fish Aquac Tech Pap No, pp.285-394, 2009.

S. Kröger and R. Law, Sensing the sea, Trends in Biotechnology, vol.23, issue.5, pp.250-256, 2005.
DOI : 10.1016/j.tibtech.2005.03.004

G. Galang, C. Bayliss, S. Marshall, and R. O. Sinnott, Real-time detection of water pollution using biosensors and live animal behaviour models, eResearch Australasia: emPower eResearch, 2012.

F. Marceau, Contraction of molluscan muscle, Arch. Zool. Exp. Gen, vol.2, pp.295-469, 1909.

K. J. Kramer, H. A. Jenner, and D. Zwart, The valve movement response of mussels: A tool in biological monitoring, Hydrobiologia, vol.188189, pp.433-443, 1989.

J. Borcherding, The Zebra Mussel Dreissena Polymorpha: Ecology, Biological Monitoring and First Applications in the Water Quality Management. NY: Gustav Fischer Verlag, 1992, ch. Another early warning system for the detection of toxic discharges in the aquatic environment based on valve movements of the freshwater mussel Dreissena polymorpha, pp.127-146

H. Riisgard, J. Lassen, and C. Kittner, Valvegape response times in mussels (mytilus edulis): Effects of laboratory preceding feeding conditions and in situ tidally induced variation in phytoplankton biomass, The Journal of Shellf ish Research, vol.25, pp.901-911, 2006.

A. Robson, R. Wilson, and C. Garcia-de-leaniz, Mussels flexing their muscles: a new method for quantifying bivalve behaviour, Marine Biology, vol.142, issue.3, pp.1195-1204, 2007.
DOI : 10.1007/s00227-006-0566-z

J. Garcia-march, M. S. Solsona, and A. Garciacarrascosa, Shell gaping behaviour of Pinna nobilis L., 1758: circadian and circalunar rhythms revealed by in situ monitoring, Marine Biology, vol.147, issue.2, pp.689-698, 2008.
DOI : 10.1007/s00227-007-0842-6

D. Tran, P. Ciret, A. Ciutat, G. Durrieu, and J. Massabuau, Estimation of potential and limits of bivalve closure response to detect contaminants: Application to cadmium, Environmental Toxicology and Chemistry, vol.57, issue.189, pp.116-122, 2003.
DOI : 10.1002/etc.5620220432

M. Sow, G. Durrieu, L. Briollais, P. Ciret, and J. Massabuau, Water quality assessment by means of HFNI valvometry and high-frequency data modeling, Environmental Monitoring and Assessment, vol.26, issue.7, pp.155-170, 2011.
DOI : 10.1007/s10661-010-1866-9

URL : https://hal.archives-ouvertes.fr/hal-00905395

F. G. Schmitt, M. De-rosa, G. Durrieu, M. Sow, P. Ciret et al., STATISTICAL STUDY OF BIVALVE HIGH FREQUENCY MICROCLOSING BEHAVIOR: SCALING PROPERTIES AND SHOT NOISE ANALYSIS, International Journal of Bifurcation and Chaos, vol.21, issue.12, pp.3565-3576, 2011.
DOI : 10.1142/S0218127411030738

URL : https://hal.archives-ouvertes.fr/hal-00906320

C. Chambon, A. Legeay, G. Durrieu, P. Gonzalez, P. Ciret et al., Influence of the parasite worm Polydora sp. on the behaviour of the oyster Crassostrea gigas: a study of the respiratory impact and associated oxidative stress, Marine Biology, vol.277, issue.2, pp.329-338, 2007.
DOI : 10.1007/s00227-007-0693-1

URL : https://hal.archives-ouvertes.fr/hal-00909889

D. Tran, A. Nadau, G. Durrieu, P. Ciret, J. P. Parisot et al., Field Chronobiology of a Molluscan Bivalve: How the Moon and Sun Cycles Interact to Drive Oyster Activity Rhythms, Chronobiology International, vol.132, issue.4, pp.307-317, 2011.
DOI : 10.3109/07420529808998684

E. Klerman and M. St-hilaire, Review: On Mathematical Modeling of Circadian Rhythms, Performance, and Alertness, Journal of Biological Rhythms, vol.277, issue.2, pp.91-102, 2007.
DOI : 10.1177/0748730407299200

P. Smolen, D. Baxter, and J. Byrne, A Reduced Model Clarifies the Role of Feedback Loops and Time Delays in the Drosophila Circadian Oscillator, Biophysical Journal, vol.83, issue.5, pp.2349-2359, 2002.
DOI : 10.1016/S0006-3495(02)75249-1

A. Goldbeter, Computational approaches to cellular rhythms, Nature, vol.23, issue.6912, pp.238-245, 2002.
DOI : 10.1038/nature01123

D. Efimov and A. Fradkov, Yakubovich???s oscillatority of circadian oscillations models, Mathematical Biosciences, vol.216, issue.2, pp.187-191, 2008.
DOI : 10.1016/j.mbs.2008.10.003

D. Forger and R. Kronauer, Reconciling Mathematical Models of Biological Clocks by Averaging on Approximate Manifolds, SIAM Journal on Applied Mathematics, vol.62, issue.4, pp.1281-1296, 2002.
DOI : 10.1137/S0036139900373587

D. Efimov, P. Sacre, and R. Sepulchre, Controlling the phase of an oscillator: A phase response curve approach, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, pp.7692-7697, 2009.
DOI : 10.1109/CDC.2009.5400901

M. Antle, D. Foley, N. Foley, and R. Silver, Gates and Oscillators: A Network Model of the Brain Clock, Journal of Biological Rhythms, vol.18, issue.4, pp.339-350, 2003.
DOI : 10.1177/0748730403253840

T. Kanamaru, Van der Pol oscillator, Scholarpedia, vol.2, issue.1, p.2202, 2007.
DOI : 10.4249/scholarpedia.2202

D. Efimov, Phase resetting control based on direct phase response curve, Journal of Mathematical Biology, vol.50, issue.4, pp.855-879, 2011.
DOI : 10.1007/s00285-010-0396-y

URL : https://hal.archives-ouvertes.fr/hal-00560990

O. Nelles, Nonlinear System Identification, 2000.