X. Navarro, T. B. Krueger, N. Lago, S. Micera, T. Stieglitz et al., A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems, Journal of the Peripheral Nervous System, vol.17, issue.3, pp.229-258, 2005.
DOI : 10.1002/mus.10358

G. S. Dhillon and K. W. Horch, Direct neural sensory feedback and control of a prosthetic arm Neural Systems and Rehabilitation Engineering, IEEE Transactions on, vol.13, issue.4, pp.468-472856072, 2005.

P. M. Rossini, S. Micera, A. Benvenuto, J. Carpaneto, G. Cavallo et al., Double nerve intraneural interface implant on a human amputee for robotic hand control, Clinical Neurophysiology, vol.121, issue.5, pp.777-783, 2010.
DOI : 10.1016/j.clinph.2010.01.001

Z. Yang, Q. Zhao, E. Keefer, and W. Liu, Noise characterization, modeling, and reduction for in vivo neural recording, Advances in Neural Information Processing Systems, pp.2160-2168, 2009.

E. Huigen, A. Peper, and C. Grimbergen, Investigation into the origin of the noise of surface electrodes, Medical & Biological Engineering & Computing, vol.20, issue.3, pp.332-340, 2002.
DOI : 10.1007/BF02344216

X. Liu, A. Demosthenous, and N. Donaldson, Platinum electrode noise in the ENG spectrum, Medical & Biological Engineering & Computing, vol.4, issue.5, pp.997-1003, 2008.
DOI : 10.1007/s11517-008-0386-z

J. Zariffa, M. K. Nagai, Z. J. Daskalakis, and M. R. Popovic, Influence of the Number and Location of Recording Contacts on the Selectivity of a Nerve Cuff Electrode, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.17, issue.5, pp.420-427, 2009.
DOI : 10.1109/TNSRE.2009.2023301

O. Rossel, F. Soulier, S. Bernard, and G. Cathébras, New electrode layout for internal selectivity of nerves, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3798-38015334437, 2009.
DOI : 10.1109/IEMBS.2009.5334437

URL : https://hal.archives-ouvertes.fr/lirmm-00413454

J. Taylor, N. Donaldson, and J. Winter, Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording, Medical & Biological Engineering & Computing, vol.67, issue.5, pp.634-643, 2004.
DOI : 10.1007/BF02347545

J. Taylor, M. Schuettler, C. Clarke, and N. Donaldson, The theory of velocity selective neural recording: a study based on simulation, Medical & Biological Engineering & Computing, vol.31, issue.5, pp.309-318, 2012.
DOI : 10.1007/s11517-012-0874-z

R. Rieger, M. Schuettler, and S. Chuang, A Device for Emulating Cuff Recordings of Action Potentials Propagating Along Peripheral Nerves, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.22, issue.5, pp.937-945, 2014.
DOI : 10.1109/TNSRE.2014.2300933

A. Al-shueli, C. Clarke, N. Donaldson, and J. Taylor-systems, Improved Signal Processing Methods for Velocity Selective Neural Recording Using Multi-Electrode Cuffs, IEEE Transactions on Biomedical Circuits and Systems, vol.8, issue.3, pp.401-410, 2014.
DOI : 10.1109/TBCAS.2013.2277561

L. N. Andreasen, J. J. Struijk, and M. K. Haugland, An artificial nerve fiber for evaluation of nerve cuff electrodes, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136), 1997.
DOI : 10.1109/IEMBS.1997.758734

C. C. Mcintyre, A. G. Richardson, and W. M. , Modeling the excitability of mammalian nerve fibers: Influence of afterpotentials on the recovery cycle, Journal of Neurophysiology, vol.87, issue.872, pp.995-1006995, 2002.