]. D. Adamos-2008, E. K. Adamos, G. Kosmidis, and . Theophilidis, Performance evaluation of PCA-based spike sorting algorithms, Computer Methods and Programs in Biomedicine, vol.91, issue.3, pp.232-244, 2008.
DOI : 10.1016/j.cmpb.2008.04.011

]. E. Adrian, The Basis of Sensation, BMJ, vol.1, issue.4857, pp.287-290, 1954.
DOI : 10.1136/bmj.1.4857.287

]. E. Aksay, G. Gamkrelidze, H. S. Seung, R. Baker, and D. W. Tank, In vivo intracellular recording and perturbation of persistent activity in a neural integrator, Nature Neuroscience, issue.2, pp.184-93, 2001.

]. C. Anastassiou, S. M. Montgomery, M. Barahona, G. Buzsáki, and C. Koch, The Effect of Spatially Inhomogeneous Extracellular Electric Fields on Neurons, Journal of Neuroscience, vol.30, issue.5, pp.1925-1936, 2010.
DOI : 10.1523/JNEUROSCI.3635-09.2010

N. Isaac, K. O. Bankman, W. Johnson, and . Schneider, Optimal Detection, Classification, and Superposition Resolution in Neural Waveform Recordings, IEEE Transactions on Biomedical Engineering, issue.8, pp.836-841, 1993.

]. L. Belkoura, J. P. Richard, and M. Fliess, Parameters estimation of systems with delayed and structured entries, Automatica, vol.45, issue.5, pp.1117-1125, 2009.
DOI : 10.1016/j.automatica.2008.12.026

URL : https://hal.archives-ouvertes.fr/inria-00343801

]. R. Brette and A. Destexhe, Handbook of neural activity measurement, p.130, 2011.
DOI : 10.1017/CBO9780511979958

URL : https://hal.archives-ouvertes.fr/hal-00739666

]. G. Brown, S. Yamada, and T. J. Sejnowski, Independent component analysis at the neural cocktail party, Trends in Neurosciences, vol.24, issue.1, pp.54-63, 2001.
DOI : 10.1016/S0166-2236(00)01683-0

]. N. Carnevale and M. L. Hines, The NEURON book, p.144, 2006.
DOI : 10.1017/CBO9780511541612

]. B. Cessac and T. Vieville, On Dynamics of Integrate-and-Fire Neural Networks with Conductance Based Synapses, Frontiers in Computational Neuroscience, vol.2, p.144, 2008.
DOI : 10.3389/neuro.10.002.2008

]. E. Chah, V. Hok, A. Della-chiesa, J. J. Miller, S. M. O-'mara et al., -means clustering, Journal of Neural Engineering, vol.8, issue.1, p.89, 2011.
DOI : 10.1088/1741-2560/8/1/016006

URL : https://hal.archives-ouvertes.fr/hal-00186309

]. S. Cho, B. Y. Kim, E. H. Park, J. W. Kim, W. W. Whang et al., Automatic recognition of Alzheimer's disease with single channel EEG recording, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), pp.2655-2658, 2003.
DOI : 10.1109/IEMBS.2003.1280462

]. C. Comer-1993, J. P. Comer, and . Dowd, Multisensory processing for movement: antennal and cercal mediation of escape turning in the cockroach, Proceedings of the workshop on "Locomotion Control in Legged Invertebrates" on Biological neural networks in invertebrate neuroethology and robotics, pp.89-112, 1993.

]. P. Comon and C. Jutten, Handbook of blind source separation, independent component analysis and applications, pp.2-2010, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00460653

]. F. Desobry, M. Davy, and C. Doncarli, An online kernel change detection algorithm, IEEE Transactions on Signal Processing, vol.53, issue.8, pp.2961-2974, 2005.
DOI : 10.1109/TSP.2005.851098

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.1469

]. G. Dornhege, J. R. Millán, T. Hinterberger, D. J. Mcfarland, and L. R. Muller, Toward brain-computer interfacing, p.63, 2007.

]. A. Eric, Glial Cell Inhibition of Neurons by Release of ATP, Journal of Neuroscience, vol.23, issue.5 3, pp.1659-1666, 2003.

]. T. Fan, K. C. Chang, and C. B. Lee, Bayesian Estimation of the Number of Change Points in Simple Linear Regression Models, Communications in Statistics - Theory and Methods, vol.51, issue.4, pp.689-710, 2006.
DOI : 10.1080/15326348808807089

]. M. Fee, P. P. Mitra, and D. Kleinfeld, Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability, Journal of Neuroscience Methods, vol.69, issue.2, pp.175-188, 1996.
DOI : 10.1016/S0165-0270(96)00050-7

]. M. Fliess, C. Join, and M. Mboup, Algebraic change-point detection, Applicable Algebra in Engineering, Communication and Computing, vol.83, issue.2, pp.131-143, 2010.
DOI : 10.1007/s00200-010-0119-z

URL : https://hal.archives-ouvertes.fr/inria-00439226

]. C. Fraley and A. E. Raftery, How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis, The Computer Journal, vol.41, issue.8, pp.578-588, 1998.
DOI : 10.1093/comjnl/41.8.578

]. A. Georgopoulos, A. B. Schwartz, and R. E. Kettner, Neuronal population coding of movement direction, Science, vol.233, issue.4771, pp.1416-1419, 1986.
DOI : 10.1126/science.3749885

]. W. Gerstner and W. Kistler, Spiking neuron models. single neurons, populations, plasticity, p.30, 2002.

Y. Ghanbari, L. Spence, and P. Papamichalis, A graph-laplacian-based feature extraction algorithm for neural spike sorting, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3142-3147, 2009.
DOI : 10.1109/IEMBS.2009.5332571

]. Y. Ghanbari, P. Papamichalis, and L. Spence, Graphspectrum-based neural spike features for stereotrodes and tetrodes, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.598-601, 2010.

]. S. Gibson, J. W. Judy, and D. Markovic, Comparison of spikesorting algorithms for future hardware implementation, Annual Internationa Conference of the IEEE Engineering in Medicine and Biology Society, vol.1, pp.5015-5035, 2008.

]. I. Gijbels, P. Hall, and A. Kneip, On the Estimation of Jump Points in Smooth Curves, Annals of the Institute of Statistical Mathematics, vol.51, issue.2, pp.231-251, 1999.
DOI : 10.1023/A:1003802007064

]. T. Gollisch and M. Meister, Rapid Neural Coding in the Retina with Relative Spike Latencies, Science, vol.319, issue.5866, pp.1108-1111, 2008.
DOI : 10.1126/science.1149639

]. K. Harris, D. A. Henze, J. Csicsvari, H. Hirase, and G. Buzsáki, Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements, Journal of Neurophysiology, vol.84, issue.60, pp.401-414, 2000.

]. T. Hastie, R. Tibshirani, and J. H. Friedman, The Elements of Statistical Learning, p.80, 2003.

]. D. Henze, Z. Borhegyi, J. Csicsvari, A. Mamiya, K. D. Harris et al., Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo, Journal of Neurophysiology, vol.84, issue.101 116, pp.390-400, 2000.

]. E. Hulata, R. Segev, and E. Ben-jacob, A method for spike sorting and detection based on wavelet packets and Shannon's mutual information, Journal of Neuroscience Methods, vol.117, issue.1, pp.1-12, 1972.
DOI : 10.1016/S0165-0270(02)00032-8

]. A. Huxtable, J. Zwicker, T. Alvares, A. Ruangkittisakul, X. Fang et al., Glia Contribute to the Purinergic Modulation of Inspiratory Rhythm-Generating Networks, Journal of Neuroscience, vol.30, issue.11, pp.3947-58, 2010.
DOI : 10.1523/JNEUROSCI.6027-09.2010

]. A. Hyvärinen and E. Oja, Independent component analysis: algorithms and applications, Neural Networks, vol.13, issue.4-5, pp.411-430, 2000.
DOI : 10.1016/S0893-6080(00)00026-5

H. J. Ilan and . Don, Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting, ICASSP, pp.5204-5207, 2008.

]. J. Iriarte, E. Urrestarazu, M. Valencia, M. Alegre, A. Malanda et al., Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study, Journal of Clinical Neurophysiology, vol.20, issue.4, pp.249-257, 2003.
DOI : 10.1097/00004691-200307000-00004

]. E. Izhikevich, Dynamical systems in neuroscience: The geometry of excitability and bursting, 2006.

]. C. James, On the use of single-channels for sensing multisource activity in biomedical signals, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003., p.63, 2003.
DOI : 10.1109/ITAB.2003.1222555

]. O. Jensen and J. E. Lisman, Position reconstruction from an ensemble of hippocampal place cells: contribution of theta phase coding, Journal of neurophysiology, vol.83, issue.5, pp.2602-2609, 2000.

]. D. Johnston-1995, S. M. Johnston, and . Wu, Foundations of cellular neurophysiology, 1995.

]. C. Jutten and J. Karhunen, ADVANCES IN BLIND SOURCE SEPARATION (BSS) AND INDEPENDENT COMPONENT ANALYSIS (ICA) FOR NONLINEAR MIXTURES, International Journal of Neural Systems, vol.14, issue.05, pp.267-292, 2004.
DOI : 10.1142/S012906570400208X

]. E. Kandel, J. H. Schwartz, and T. M. , Principles of neural science, p.124, 2000.

]. C. Kayser, M. A. Montemurro, N. K. Logothetis, and S. Panzeri, Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns, Neuron, vol.61, issue.4, pp.597-608, 2009.
DOI : 10.1016/j.neuron.2009.01.008

URL : http://doi.org/10.1016/j.neuron.2009.01.008

]. K. Kim and S. J. Kim, Neural Spike Sorting Under Nearly 0-dB Signal-to-Noise Ratio Using Nonlinear Energy Operator and Artificial Neural-Network Classifier, IEEE Transactions on Biomedical Engineering, vol.47, issue.33, pp.1406-1411, 2000.

]. P. Knutsen and E. Ahissar, Orthogonal coding of object location, Trends in Neurosciences, vol.32, issue.2, 0142.
DOI : 10.1016/j.tins.2008.10.002

A. Spence, Spike (action potential ) detection and sorting, Bibliography Journal Club, vol.25, p.67, 2002.

]. M. Lavielle, Using penalized contrasts for the change-point problem, Signal Processing, vol.85, issue.8, pp.1501-1510, 2005.
DOI : 10.1016/j.sigpro.2005.01.012

URL : https://hal.archives-ouvertes.fr/inria-00070662

]. R. Levi and J. M. Camhi, Wind direction coding in the cockroach escape response: winner does not take all, Journal of Neuroscience, vol.20, issue.125, pp.3814-3835, 2000.

]. M. Lewicki, A review of methods for spike sorting: the detection and classification of neural action potentials, Network: Computation in Neural Systems, vol.9, issue.4, pp.53-78, 1998.
DOI : 10.1088/0954-898X_9_4_001

]. E. Liebenthal, O. Uhlmann, and J. M. Camhi, Critical parameters of the spike trains in a cell assembly: coding of turn direction by the giant interneurons of the cockroach, Journal of Comparative Physiology A, vol.174, issue.3, pp.281-96, 1994.
DOI : 10.1007/BF00240211

]. J. Lisman, The theta/gamma discrete phase code occuring during the hippocampal phase precession may be a more general brain coding scheme, Hippocampus, vol.8, issue.7, pp.913-922, 2005.
DOI : 10.1002/hipo.20121

]. J. Lisman-2008, G. Lisman, and . Buzsáki, A Neural Coding Scheme Formed by the Combined Function of Gamma and Theta Oscillations, Schizophrenia Bulletin, vol.34, issue.5, pp.974-980, 2008.
DOI : 10.1093/schbul/sbn060

]. D. Liu, O. Gibaru, and W. Perruquetti, Error analysis of Jacobi derivative estimations for noisy signals, Numerical Algorithms, pp.53-83, 2011.

]. S. Lloyd, Least squares quantization in PCM, IEEE Transactions on Information Theory, vol.28, issue.2, pp.129-137, 1982.
DOI : 10.1109/TIT.1982.1056489

]. S. Mallat, A wavelet tour of signal processing, p.34, 1999.

]. J. Malmivuo and R. Plonsey, Bioelectromagnetism : Principles and applications of bioelectric and biomagnetic fields, p.64, 1995.
DOI : 10.1093/acprof:oso/9780195058239.001.0001

]. A. Mamlouk, K. Menne, U. Hofmann, and T. Martinetz, Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations, Neurocomputing, vol.65, issue.66, pp.65-66, 2005.
DOI : 10.1016/j.neucom.2004.10.019

]. H. Markram, The Blue Brain Project, Nature Reviews Neuroscience, vol.60, issue.2, pp.153-160, 0143.
DOI : 10.1162/089976698300017502

]. K. Mathieson, S. Kachiguine, C. Adams, W. Cunningham, D. Gunning et al., Large-area microelectrode arrays for recording of neural signals, IEEE Transactions on Nuclear Science, vol.51, issue.5, pp.2027-2031, 2004.
DOI : 10.1109/TNS.2004.835873

]. R. Michael, D. , and M. Z. Anthony, Binary coding in auditory cortex, Advances in Neural Information Processing Systems, p.137, 2002.

]. J. Mikusì-nski-1987, T. K. Mikusì-nski, and . Boehme, Operational Calculus, p.40, 1987.

]. R. Monderer, D. M. Harrison, and S. R. Haut, Neurofeedback and epilepsy, Epilepsy & Behavior, vol.3, issue.3, pp.214-218, 2002.
DOI : 10.1016/S1525-5050(02)00001-X

]. M. Montemurro-2007, S. Montemurro, M. Panzeri, A. Maravall, M. R. Alenda et al., Role of Precise Spike Timing in Coding of Dynamic Vibrissa Stimuli in Somatosensory Thalamus, Journal of Neurophysiology, vol.98, issue.4, pp.1871-1882, 2007.
DOI : 10.1152/jn.00593.2007

M. A. Montemurro, M. J. Rasch, Y. Murayama, N. K. Logothetis, and S. Panzeri, Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex, Current Biology, vol.18, issue.5, pp.375-380, 2008.
DOI : 10.1016/j.cub.2008.02.023

]. Z. Nenadic and J. W. Burdick, Spike Detection Using the Continuous Wavelet Transform, IEEE Transactions on Biomedical Engineering, vol.52, issue.1, pp.74-87, 2005.
DOI : 10.1109/TBME.2004.839800

]. F. Netter, J. A. Craig, and J. Perkins, Atlas of neuroanatomy and neurophysiology: Selections from the netter collection of medical illustrations special edition, Icon Custom Communications, issue.1, 2002.

]. J. Nolte, The human brain: An introduction to its functional anatomy, 2002.

]. D. Novak, J. Wild, T. Sieger, and R. Jech, Identifying number of neurons in extracellular recording, 2009 4th International IEEE/EMBS Conference on Neural Engineering, pp.742-745, 2009.
DOI : 10.1109/NER.2009.5109403

]. S. Othmer and D. Kaiser, Implementation of Virtual Reality in EEG Biofeedback, CyberPsychology & Behavior, vol.3, issue.3, pp.415-420, 2000.
DOI : 10.1089/10949310050078878

S. Panzeri, R. S. Petersen, S. R. Schultz, M. Lebedev, and M. E. Diamond, The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex, Neuron, vol.29, issue.3, pp.769-777, 2001.
DOI : 10.1016/S0896-6273(01)00251-3

]. S. Panzeri, N. Brunel, N. K. Logothetis, and C. Kayser, Sensory neural codes using multiplexed temporal scales, Trends in Neurosciences, vol.33, issue.3, pp.111-120, 2010.
DOI : 10.1016/j.tins.2009.12.001

]. C. Pouzat, O. Mazor, and G. Laurent, Using noise signature to optimize spike-sorting and to assess neuronal classification quality, Journal of Neuroscience Methods, vol.122, issue.1, pp.43-57, 2002.
DOI : 10.1016/S0165-0270(02)00276-5

URL : https://hal.archives-ouvertes.fr/hal-00005005

]. R. Quiroga, Z. Nadasdy, and Y. B. Shaul, Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering, Neural Computation, vol.84, issue.8, pp.1661-1687, 1931.
DOI : 10.1016/0370-2693(89)91563-3

]. D. Reich, F. Mechler, and J. D. Victor, Temporal Coding of Contrast in Primary Visual Cortex: When, What, and Why, Journal of Neurophysiology, vol.85, issue.3, pp.1039-1050, 2001.

S. Rezk, C. Join, S. Asmi, M. Dogui, and M. H. Bedoui, Frequency Change-Point Detection in physiological Signals : an Algebraic Approach, International Journal on Sciences and Techniques of Automatic control and computer engineering, issue.1, pp.456-468, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00308474

]. B. Richmond, T. J. Gawne, and G. X. Jin, Neuronal codes: reading them and learning how their structure influences network organization, Biosystems, vol.40, issue.1-2, pp.149-157, 1997.
DOI : 10.1016/0303-2647(96)01641-3

]. F. Rieke, D. Warland, and W. Bialek, Spikes: Exploring the Neural Code, p.126, 1997.

]. S. Roa, M. Bennewitz, and S. Behnke, Fundamental Frequency Estimation Based on Pitch-Scaled Harmonic Filtering, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.397-400, 2007.
DOI : 10.1109/ICASSP.2007.366933

]. C. Rogers, J. Harris, J. Principe, and J. Sanchez, A pulsebased feature extractor for spike sorting neural signals, 3rd Annual International Conference of the IEEE Neural Engineering, pp.490-493, 2007.
DOI : 10.1109/cne.2007.369716

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.687.5536

]. S. Rose, The future of the brain: The promise and perils of tomorrow's neuroscience, 2006.

]. D. Sebald and A. Branner, Automatic Spike Sorting For Real-time Applications, 2007 3rd International IEEE/EMBS Conference on Neural Engineering, pp.670-674, 2007.
DOI : 10.1109/CNE.2007.369761

]. T. Senior, J. R. Huxter, K. Allen, J. O. Neill, and J. Csicsvari, Gamma Oscillatory Firing Reveals Distinct Populations of Pyramidal Cells in the CA1 Region of the Hippocampus, Journal of Neuroscience, vol.28, issue.9, pp.2274-2286, 2008.
DOI : 10.1523/JNEUROSCI.4669-07.2008

]. M. Shadlen and W. T. Newsome, The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Bibliography Information Coding, Journal of Neuroscience, vol.18, issue.10, pp.3870-3896, 0124.

Y. Shiraishi, N. Katayama, T. Takahashi, A. Karashima, and M. Nakao, Multi-neuron action potentials recorded with tetrode are not instantaneous mixtures of single neuronal action potentials, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4019-4022, 2009.
DOI : 10.1109/IEMBS.2009.5333505

]. J. Simeral, S. Kim, M. J. Black, J. P. Donoghue, and L. R. Hochberg, Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array, Journal of Neural Engineering, vol.8, issue.2, p.95, 2011.
DOI : 10.1088/1741-2560/8/2/025027

]. S. Takahashi, Y. Anzai, and Y. Sakurai, A new approach to spike sorting for multi-neuronal activities recorded with a tetrode???how ICA can be practical, Neuroscience Research, vol.46, issue.3, pp.265-272, 1971.
DOI : 10.1016/S0168-0102(03)00103-2

]. S. Takahashi, Y. Anzai, and Y. Sakurai, Automatic Sorting for Multi-Neuronal Activity Recorded With Tetrodes in the Presence of Overlapping Spikes, Journal of Neurophysiology, vol.89, issue.4, pp.2245-2258, 2003.
DOI : 10.1152/jn.00827.2002

]. E. Thomas, A parallel algorithm for simulation of large neural networks, Journal of Neuroscience Methods, vol.98, issue.2, p.39, 2000.
DOI : 10.1016/S0165-0270(00)00195-3

C. Mboup, L. Pouzat, and . Belkoura, An Algebraic Method for Eye Blink Artifacts Detection in Single Channel EEG Recordings, IFMBE Proceedings. 17th International Conference on Advances in Biomagnetism (Biomag2010), pp.175-178, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00518627

]. Z. Tiganj and M. Mboup, Deflation technique for neural spike sorting in multi-channel recordings, 2011 IEEE International Workshop on Machine Learning for Signal Processing, p.97, 2011.
DOI : 10.1109/MLSP.2011.6064619

URL : https://hal.archives-ouvertes.fr/hal-00662709

]. Z. Tiganj and M. Mboup, A non-parametric method for automatic neural spike clustering based on the non-uniform distribution of the data, Journal of Neural Engineering, vol.8, issue.6, pp.66014-74, 2011.
DOI : 10.1088/1741-2560/8/6/066014

J. P. Irwin and . Donoghue, Automated spike sorting using density grid contour clustering and subtractive waveform decomposition, Journal of Neuroscience Methods, vol.164, issue.1, pp.1-18, 2007.
DOI : 10.1016/j.jneumeth.2007.03.025

]. N. Vaswani, Additive Change Detection in Nonlinear Systems With Unknown Change Parameters, IEEE Transactions on Signal Processing, vol.55, issue.3, pp.859-872, 2007.
DOI : 10.1109/TSP.2006.887111

M. F. Vecchierini, C. Héberlé, and F. Wallois, Electroencephalography (eeg) recording techniques and artefact detection in early premature babies, Clinical Neurophysiology, vol.37, pp.299-309, 2007.

M. Fellows, J. Donoghue, and M. Black, Automatic spike sorting for neural decoding, 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4009-4012, 2004.

]. G. Xu, J. Wang, Q. Zhang, S. Zhang, and J. Zhu, A spike detection method in EEG based on improved morphological filter. Computers in biology and medicine, pp.1647-1652, 2007.