References - Advanced Models of Neural Networks - page 260

17. M. Basseville, I. Nikiforov, Detection of Abrupt Changes: Theory and Applications (Prentice-
Hall, Englewood Cliffs, 1993)
18. K. Beauchard, J.M. Coron, M. Mirrahimi, P. Rouchon, Implicit Lyapunov control of finite
dimensional Schrödinger equations. Syst. Control Lett. 56 , 388-395 (2007)
19. E.C. Behrman, L.R. Nash, J.E. Steck, V.G. Chandrashekar, S.R. Skinner, Simulations of
Quantum neural networks. Inf. Sci. 128 , 257-269 (2002)
20. V.P. Belavkin, On the theory of controlling observable quantum systems. Autom. Rem.
Control 44 (2), 178-188 (1983)
21. J. Bell, G. Crociun, A distributed parameter identification problem in neuronal cable theory
models. Math. Biosci. 194 , 1-19 (2005)
22. A. Benvensite, P.Metivier, P. Priouret, Adaptive Algorithms and Stochastic Approximations .
Applications of Mathematics Series, vol. 22 (Springer, Heidelberg, 1990)
23. C. Bertoglio, D. Chapelle, M.A. Fernandez, J.F. Gerbeau, P. Moireau, State observers of a
vascular fluid-structure interaction model through measurements in the solid. INRIA research
report no 8177, Dec. 2012
24. A. Bonami, B. Demange, P. Jaming, Hermite functions and uncertainty principles for the
Fourier and Windowed Fourier transforms. Rev. Matematica Iberoamericana 19 (1), 23-55
(2003)
25. S. Bououden, D. Boutat, G. Zheng, J.P. Barbot, F. Kratz, A triangular canonical form for a
class of 0-flat nonlinear systems. Int. J. Control 84 (2), 261-269 (2011)
26. P.C. Bresslof, J.M. Newby, Stochastic models of intracellular transport. Rev. Mod. Phys. 85 ,
135-196 (2013)
27. H.P. Breuer, F. Petruccione, The Theory of Open Quantum Systems (Clarendon Press, Oxford,
2006)
28. C. Chaudhary, B. Shapiro, Arbitrary steering of multiple particles independently in an electro-
osmotically driven microfluidic system. IEEE J. Control Syst. Technol. 14 (4), 669-680 (2006)
29. J. Chauvin, Observer design for a class of wave equations driven by an unknown periodic
input, in 18th World Congress , Milano, 2011
30. C. Chen, G. Rigatos, D. Dong, J. Lam, Partial feedback control of quantum systems using
probabilistic fuzzy estimator, in IEEE CDC 2009, Joint 48th IEEE Conference on Decision
and Control and 28th Chinese Control Conference , Sanghai, 2009
31. J.R. Chumbley, R.J. Dolan, K.J. Friston, Attractor models of working memory and their
modulation by reward. Biol. Cybern. 98 , 11-18 (2008)
32. J. Clairambault, Physiologically based modelling of circadian control on cell proliferation, in
28th IEEE EMBS Annual International Conference , New York, 2006
33. J. Clairambault, A step toward optimization of cancer therapeutics: physiologically based
modeling of circadian control on cell proliferation. IEEE Eng. Med. Biol. Mag. (2008)
34. C. Cohen-Tannoudji, B. Diu, F. Laloë, in Mécanique Quantique I , Hermann, 1998
35. F. Comet, T. Meyre, Calcul stochastique et modèles de diffusion (Dunod, Paris, 2006)
36. G. Chen, J.L. Moiola, H.O. Wang, Bifurcation control: theories, methods and applications.
Int. J. Bifurcat. Chaos, 10 (3), 511-548 (2000)
37. K.L. Chung, Green, Brown and Probability & Brownian Motion on the Line (World Scientific,
Singapore, 2002)
38. S. Coombes, P.C. Bressloff, Solitary waves in a model of dendritic cable with active spines.
SIAM J. Appl. Math. 61 (2), 432-453 (2000)
39. D. Csercsik, I. Farkas, G. Szederkenyi, E. Hrabovszky, Z. Liposits, K.M. Hangas, Hodgkin-
Huxley type modelling and parameter estimation of the GnRH neurons. Biosystems 100 ,
198-207 (2010)
40. A. Crespi, A. Ijspeert, Online optimization of swimming and crawling in an amphibious snake
robot. IEEE Trans. Robot. 24 (1), 75-87 (2008)
41. P.S.P. da Silva, P. Rouchon, Flatness-based control of a single qubit-gate. IEEE Trans.
Automat. Control 53 (3), 775-779 (2008)
42. I. Debauchies, The wavelet transform, time-frequency localization and signal processing.
IEEE Trans. Inf. Theory 36 , 961-1005 (1990)