Introduction to Focus Issue: Intrinsic and Designed Computation: Information Processing in Dynamical Systems???Beyond the Digital Hegemony, Chaos: An Interdisciplinary Journal of Nonlinear Science, vol.36, issue.3, p.37101, 2010. ,
DOI : 10.1063/1.3491238
Memory and Information Processing in Neuromorphic Systems, Proceedings of the IEEE, vol.103, issue.8, pp.1379-1397, 2015. ,
DOI : 10.1109/JPROC.2015.2444094
URL : http://arxiv.org/abs/1506.03264
Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex, PLOS Computational Biology, vol.87, issue.4, p.1004967, 2016. ,
DOI : 10.1371/journal.pcbi.1004967.t003
A logical calculus of the ideas immanent in nervous activity, The Bulletin of Mathematical Biophysics, vol.5, issue.4, pp.115-133, 1943. ,
DOI : 10.1007/BF02478259
A quantitative description of membrane current and its application to conduction and excitation in nerve, The Journal of Physiology, vol.117, issue.4, pp.500-544, 1952. ,
DOI : 10.1113/jphysiol.1952.sp004764
The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958. ,
DOI : 10.1037/h0042519
Perceptrons: An Introduction to, Computational Geometry, vol.165, 1969. ,
Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals, and Systems, vol.27, issue.4, pp.303-314, 1989. ,
DOI : 10.1090/pspum/028.2/0507425
Self-organized formation of topologically correct feature maps, Biological Cybernetics, vol.13, issue.1, pp.59-69, 1982. ,
DOI : 10.1007/BF00337288
Generalization of back-propagation to recurrent neural networks, Physical Review Letters, vol.81, issue.19, pp.2229-2232, 1987. ,
DOI : 10.1073/pnas.81.10.3088
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations, Neural Computation, vol.7, issue.11, pp.2531-2560, 2002. ,
DOI : 10.1038/35009102
The " echo state " approach to analysing and training recurrent neural networks, German National Research Center for Information Technology GMD Technical Report, vol.148, p.34, 2001. ,
Backpropagation-decorrelation: online recurrent learning with O(N) complexity, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), pp.843-848, 2004. ,
DOI : 10.1109/IJCNN.2004.1380039
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.9279
Information processing using a single dynamical node as complex system, Nature Communications, vol.22, pp.466-468, 2011. ,
DOI : 10.1109/TNN.2010.2089641
URL : http://www.nature.com/articles/ncomms1476.pdf
Chaotic attractors of an infinite-dimensional dynamical system, Physica D: Nonlinear Phenomena, vol.4, issue.3, pp.366-393, 1982. ,
DOI : 10.1016/0167-2789(82)90042-2
Applied Delay Differential Equations, 2009. ,
Two-dimensional representation of a delayed dynamical system, Physical Review A, vol.23, issue.7, pp.4225-4228, 1992. ,
DOI : 10.1016/0167-2789(86)90149-1
Defects and Spacelike Properties of Delayed Dynamical Systems, Physical Review Letters, vol.57, issue.8, pp.1099-1102, 1994. ,
DOI : 10.1103/RevModPhys.65.851
Relationship between Delayed and Spatially Extended Dynamical Systems, Physical Review Letters, vol.31, issue.15, pp.2686-2689, 1996. ,
DOI : 10.1103/PhysRevA.31.3868
Coexistence of coherence and incoherence in nonlocally coupled phase oscillators, Nonlinear Phenomena in Complex Systems, vol.5, pp.380-385, 2002. ,
Chimera States for Coupled Oscillators, Physical Review Letters, vol.208, issue.17, p.174102, 2004. ,
DOI : 10.1098/rspb.1980.0051
URL : http://arxiv.org/pdf/nlin/0407045
Chimera states: coexistence of coherence and incoherence in networks of coupled oscillators, Nonlinearity, vol.28, issue.3, pp.67-87, 2015. ,
DOI : 10.1088/0951-7715/28/3/R67
Ikeda-based nonlinear delayed dynamics for application to secure optical transmission systems using chaos, Comptes Rendus Physique, vol.5, issue.6, pp.669-681, 2004. ,
DOI : 10.1016/j.crhy.2004.05.003
URL : https://hal.archives-ouvertes.fr/hal-00096982
From Flow to Map in an Experimental High-Dimensional Electro-Optic Nonlinear Delay Oscillator, Physical Review Letters, vol.82, issue.4, p.43903, 2005. ,
DOI : 10.1103/PhysRevLett.90.254101
Coarsening in a bistable system with long-delayed feedback, EPL (Europhysics Letters), vol.99, issue.5, p.58005, 2012. ,
DOI : 10.1209/0295-5075/99/58005
Complexity in electro-optic delay dynamics: modelling, design and applications, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.82, issue.19, pp.20120464-20120464, 2013. ,
DOI : 10.1103/PhysRevA.82.033801
URL : https://hal.archives-ouvertes.fr/hal-00878742
Oscillation and chaos in physiological control systems, Science, vol.197, issue.4300, pp.287-296, 1977. ,
DOI : 10.1126/science.267326
Complex dynamics and bifurcations in neurology, Journal of Theoretical Biology, vol.138, issue.2, pp.129-147, 1989. ,
DOI : 10.1016/S0022-5193(89)80135-3
Modeling delayed processes in biological systems, Physical Review E, vol.208, issue.3, pp.1-9, 2016. ,
DOI : 10.1103/PhysRevE.59.3970
URL : http://arxiv.org/pdf/1605.07304
Ikeda-like chaos on a dynamically filtered supercontinuum light source, Physical Review A, vol.94, issue.2, p.23847, 2016. ,
DOI : 10.2307/2318254
Optoelectronic Reservoir Computing, Scientific Reports, vol.8, issue.1, 2012. ,
DOI : 10.1109/ICASSP.1982.1171644
URL : http://www.nature.com/articles/srep00287.pdf
All-optical reservoir computing, Optics Express, vol.20, issue.20, pp.22783-22795, 2012. ,
DOI : 10.1364/OE.20.022783
URL : http://arxiv.org/abs/1207.1619
Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing, Optics Express, vol.20, issue.3, pp.3241-3250, 2012. ,
DOI : 10.1364/OE.20.003241
URL : https://hal.archives-ouvertes.fr/hal-00664446
Parallel photonic information processing at gigabyte per second data rates using transient states, Nature Communications, vol.1, pp.1364-1367, 2013. ,
DOI : 10.1038/ncomms1028
URL : http://www.nature.com/articles/ncomms2368.pdf
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation, IEEE Transactions on Neural Networks and Learning Systems, vol.26, issue.2, pp.388-393, 2015. ,
DOI : 10.1109/TNNLS.2014.2311855
URL : https://digital.csic.es/bitstream/10261/133728/1/accesoRestringido.pdf
Photonic delay systems as machine learning implementations, Journal of Machine Learning Research, pp.1-22, 2015. ,
Topological solitons as addressable phase bits in a driven laser, Nat Commun, vol.6, 2015. ,
DOI : 10.1364/np.2016.nw3b.2
URL : http://arxiv.org/abs/1409.6350
Regenerative memory in time-delayed neuromorphic photonic resonators, Scientific Reports, vol.218, issue.1, p.150307781, 2016. ,
DOI : 10.1016/0370-1573(92)90098-K
URL : http://www.nature.com/articles/srep19510.pdf
Multiple-valued stationary state and its instability of the transmitted light by a ring cavity system, Optics Communications, vol.30, issue.2, 1979. ,
DOI : 10.1016/0030-4018(79)90090-7
Simple mathematical models with very complicated dynamics, Nature, vol.29, issue.5560, pp.459-467, 1976. ,
DOI : 10.2307/3863
Quantitative universality for a class of nonlinear transformations, Journal of Statistical Physics, vol.54, issue.1, pp.25-52, 1978. ,
DOI : 10.1007/BF01020332
COEXISTENCE OF CYCLES OF A CONTINUOUS MAP OF THE LINE INTO ITSELF, International Journal of Bifurcation and Chaos, vol.05, issue.05, pp.1263-1273, 1995. ,
DOI : 10.1142/S0218127495000934
Period three implies chaos, The American Mathematical Monthly, vol.82, pp.985-992, 1975. ,
Sequential multisine excitation signals for system identification of large space structures, 2006 American Control Conference, p.pp.? (, 2006. ,
DOI : 10.1109/ACC.2006.1655392
Nonlocal Nonlinear Electro-Optic Phase Dynamics Demonstrating 10 Gb/s Chaos Communications, IEEE Journal of Quantum Electronics, vol.46, issue.10, pp.1430-1435, 2010. ,
DOI : 10.1109/JQE.2010.2049987
URL : https://hal.archives-ouvertes.fr/hal-00580943
Recurrent neuronal circuits in the neurocortex, Current Biology, vol.27, pp.496-500, 2004. ,
Simple model of spiking neurons, IEEE Transactions on Neural Networks, vol.14, issue.6, pp.1569-1572, 2003. ,
DOI : 10.1109/TNN.2003.820440
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.162.595
Neuronal dynamics, pp.14-17, 2015. ,
DOI : 10.1017/CBO9781107447615
Approximation capabilities of multilayer feedforward networks, Neural Networks, vol.4, issue.2, pp.251-257, 1991. ,
DOI : 10.1016/0893-6080(91)90009-T
Approximation of dynamical systems by continuous time recurrent neural networks, Neural Networks, vol.6, issue.6, pp.801-806, 1993. ,
DOI : 10.1016/S0893-6080(05)80125-X
The Dynamic Universality of Sigmoidal Neural Networks, Information and Computation, vol.128, issue.1, pp.48-56, 1996. ,
DOI : 10.1006/inco.1996.0062
A tutorial on training recurrent neural networks, covering bppt, rtrl, ekf and the "echo state network" approach, GMD Report German National Research Center for Information Technology, vol.159, pp.1-46, 2002. ,
Reinforcement Learning: An Introduction, IEEE Transactions on Neural Networks, vol.9, issue.5, 1998. ,
DOI : 10.1109/TNN.1998.712192
ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, vol.1010, issue.1, pp.211-252, 2015. ,
DOI : 10.1007/978-3-642-15555-0_11
URL : http://arxiv.org/abs/1409.0575
Mastering the game of Go with deep neural networks and tree search, Nature, vol.34, issue.7587, pp.484-489, 2016. ,
DOI : 10.3233/ICG-2011-34302
Human-level control through deep reinforcement learning, Nature, vol.101, issue.7540, pp.529-533, 2015. ,
DOI : 10.1016/S0004-3702(98)00023-X
Dermatologist-level classification of skin cancer with deep neural networks, Nature, vol.9, issue.10, pp.115-118, 2017. ,
DOI : 10.1109/TKDE.2009.191
Optical computing, past & future. Optics and Photonics News, pp.32-39, 2016. ,
DOI : 10.1364/opn.27.6.000032
Synchronization in chaotic systems, Physical Review Letters, vol.10, issue.8, pp.821-824, 1990. ,
DOI : 10.1103/RevModPhys.57.617
Bandpass chaotic dynamics of electronic oscillator operating with delayed nonlinear feedback, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol.49, issue.7, pp.1006-1009, 2002. ,
DOI : 10.1109/TCSI.2002.800835
URL : https://hal.archives-ouvertes.fr/hal-00093947
Dynamic instabilities of microwaves generated with optoelectronic oscillators, Optics Letters, vol.32, issue.17, pp.2571-2573, 2007. ,
DOI : 10.1364/OL.32.002571
ImageNet classification with deep convolutional neural networks, Communications of the ACM, vol.60, issue.6, pp.1102-0183, 2012. ,
DOI : 10.1162/neco.2009.10-08-881
DeepFace: Closing the Gap to Human-Level Performance in Face Verification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1701-1708, 2014. ,
DOI : 10.1109/CVPR.2014.220
Deep learning, Nature, vol.9, issue.7553, pp.436-444, 2015. ,
DOI : 10.1007/s10994-013-5335-x
Reservoir computing: a photonic neural network for information processing, Nonlinear Optics and Applications IV, pp.77280-77280, 2010. ,
DOI : 10.1117/12.854050
URL : https://biblio.ugent.be/publication/1070018/file/1070086.pdf
Computational Study of Turbulent Laminar Patterns in Couette Flow, Physical Review Letters, vol.164, issue.1, pp.1-4, 2005. ,
DOI : 10.1006/jcph.1995.1208
URL : https://hal.archives-ouvertes.fr/hal-00012994
Modeling the transition to turbulence in shear flows, Journal of Physics: Conference Series, vol.318, issue.3, pp.32001-1107, 2011. ,
DOI : 10.1088/1742-6596/318/3/032001
Turbulent???laminar coexistence in wall flows with Coriolis, buoyancy or Lorentz forces, Journal of Fluid Mechanics, vol.96, pp.137-172, 2012. ,
DOI : 10.1063/1.870068
Oblique Laminar-Turbulent Interfaces in Plane Shear Flows, Physical Review Letters, vol.110, issue.3, p.34502, 2013. ,
DOI : 10.1017/S0022112082002006
Experimental observation of chimeras in coupled-map lattices, Nature Physics, vol.5, issue.9, pp.658-661, 2012. ,
DOI : 10.1016/S0370-1573(02)00137-0
Spatiotemporal Chaotic Localized State in Liquid Crystal Light Valve Experiments with Optical Feedback, Physical Review Letters, vol.110, issue.10, pp.1-5, 2013. ,
DOI : 10.1016/0375-9601(87)90581-0
Chimera and phase-cluster states in populations of coupled chemical oscillators, Nature Physics, vol.5, issue.9, pp.662-665, 2012. ,
DOI : 10.1103/PhysRevLett.94.014502
Chimera states in mechanical oscillator networks, Proceedings of the National Academy of Sciences, vol.107, issue.4, pp.10563-10570, 2013. ,
DOI : 10.1103/PhysRevLett.107.043603
URL : http://www.pnas.org/content/110/26/10563.full.pdf
Imperfect chimera states for coupled pendula, Scientific Reports, vol.41, issue.1, p.6379, 2014. ,
DOI : 10.1088/0022-3727/41/1/015503
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376200
Quantum chimera states Physics Letters, Section A: General, Atomic and Solid State Physics, pp.678-683, 2016. ,
Virtual Chimera States for Delayed-Feedback Systems, Physical Review Letters, vol.5, issue.5, p.54103, 2013. ,
DOI : 10.1103/PhysRevE.84.015201
URL : https://hal.archives-ouvertes.fr/hal-00878675
Laser chimeras as a paradigm for multistable patterns in complex systems, Nature Communications, vol.20, p.7752, 2015. ,
DOI : 10.1364/OE.20.003241
Delayed-feedback chimera states: Forced multiclusters and stochastic resonance, EPL (Europhysics Letters), vol.115, issue.1, pp.10005-1511, 2016. ,
DOI : 10.1209/0295-5075/115/10005
URL : http://iopscience.iop.org/article/10.1209/0295-5075/115/10005/pdf
Nucleation in bistable dynamical systems with long delay, Physical Review E, vol.88, issue.6, p.62920, 2013. ,
DOI : 10.1103/PhysRevLett.111.054103
Strongly asymmetric square waves in a time-delayed system, Physical Review E, vol.16, issue.5, p.55201, 2012. ,
DOI : 10.1209/0295-5075/96/34001
URL : https://hal.archives-ouvertes.fr/hal-00932485
Chaotic Breathers in Delayed Electro-Optical Systems, Physical Review Letters, vol.95, issue.20, p.203903, 2005. ,
DOI : 10.1142/S0218127400000840
Bursting, beating, and chaos in an excitable membrane model, Biophysical Journal, vol.47, issue.3, pp.357-366, 1985. ,
DOI : 10.1016/S0006-3495(85)83926-6
URL : http://doi.org/10.1016/s0006-3495(85)83926-6
Impulses and Physiological States in Theoretical Models of Nerve Membrane, Biophysical Journal, vol.1, issue.6, pp.445-466, 1961. ,
DOI : 10.1016/S0006-3495(61)86902-6
An Active Pulse Transmission Line Simulating Nerve Axon, Proceedings of the IRE, pp.2061-2070, 1962. ,
DOI : 10.1109/JRPROC.1962.288235
The many facets of natural computing, Communications of the ACM, vol.51, issue.10, p.72, 2008. ,
DOI : 10.1145/1400181.1400200
Grand challenge 7: Journeys in non-classical computation, Visions of Computer Science, pp.407-421, 2008. ,
DOI : 10.1007/978-3-540-45192-1_20
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.5410
Natural Computation, The Computer Journal, vol.55, issue.7, pp.848-851, 2012. ,
DOI : 10.1093/comjnl/bxs077
Blueprint for a microwave trapped ion quantum computer, Science Advances, vol.47, issue.2, p.1601540, 2017. ,
DOI : 10.1016/j.microrel.2006.05.017
URL : http://advances.sciencemag.org/content/advances/3/2/e1601540.full.pdf
Pattern Recognition in a Bucket, Proceedings of the 7th European Conference on Artificial Life, pp.588-597, 2003. ,
DOI : 10.1007/978-3-540-39432-7_63
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.97.3902
High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification, Physical Review X, vol.7, issue.1, p.11015, 2017. ,
DOI : 10.1038/ncomms8752
URL : http://doi.org/10.1103/physrevx.7.011015
Experimental logical gates in a reaction-diffusion medium: The XOR gate and beyond, Physical Review E, vol.104, issue.4, pp.1-6, 2002. ,
DOI : 10.1021/jp992456c
Reservoir computing approaches to recurrent neural network training, Computer Science Review, vol.3, issue.3, pp.127-149, 2009. ,
DOI : 10.1016/j.cosrev.2009.03.005
Randomness in neural networks: an overview, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol.15, issue.365, p.1200, 2017. ,
DOI : 10.1109/MCI.2015.2471235
Physical Realization of a Supervised Learning System Built with Organic Memristive Synapses, Scientific Reports, vol.42, issue.1, p.31932, 2016. ,
DOI : 10.1021/ic020420k
URL : https://hal.archives-ouvertes.fr/cea-01361933
Electronic systems as an experimental testbed to study nonlinear delay dynamics, 2016. ,
Démonstration opto-électronique du concept de calculateur neuromorphique par reservoir computing, 2013. ,
High-Speed Optical Vector and Matrix Operations Using a Semiconductor Laser, IEEE Photonics Technology Letters, vol.25, issue.17, pp.1680-1683, 2013. ,
DOI : 10.1109/LPT.2013.2273373
Optoelectronic reservoir computing: tackling noise-induced performance degradation, Optics Express, vol.21, issue.1, pp.12-20, 2013. ,
DOI : 10.1364/OE.21.000012
URL : https://hal.archives-ouvertes.fr/hal-00945440
High-performance photonic reservoir computer based on a coherently driven passive cavity, Optica, vol.2, issue.5, pp.438-446, 2015. ,
DOI : 10.1364/OPTICA.2.000438
URL : http://arxiv.org/pdf/1501.03024
Minimum Complexity Echo State Network, IEEE Transactions on Neural Networks, vol.22, issue.1, pp.131-144, 2011. ,
DOI : 10.1109/TNN.2010.2089641
An evolved circuit, intrinsic in silicon, entwined with physics Evolvable Systems: From Biology to Hardware 1259, pp.390-405, 1996. ,
Predicting chaotic time series, Physical Review Letters, vol.25, issue.8, pp.845-848, 1987. ,
DOI : 10.1103/PhysRevA.35.2207
Lyon's cochlear model, Apple Technical Report, pp.1-79, 1988. ,
Photonic Nonlinear Transient Computing with Multiple-Delay Wavelength Dynamics, Physical Review Letters, vol.108, issue.24, pp.1-4, 2012. ,
DOI : 10.1038/nphys2283
URL : https://hal.archives-ouvertes.fr/hal-00932456
Compact hardware liquid state machines on FPGA for real-time speech recognition, Neural Networks, vol.21, issue.2-3, pp.511-523, 2008. ,
DOI : 10.1016/j.neunet.2007.12.009
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.155.4225&rep=rep1&type=pdf
Experimental demonstration of reservoir computing on a silicon photonics chip, Nature Communications, vol.27, p.3541, 2014. ,
DOI : 10.1109/JLT.2009.2022282
Computation at the edge of chaos: Phase transitions and emergent computation, Physica D: Nonlinear Phenomena, vol.42, issue.1-3, pp.12-37, 1990. ,
DOI : 10.1016/0167-2789(90)90064-V
Edge of chaos computation in mixed-mode vlsi -a hard liquid, Advances in Neural Information Processing Systems, pp.1201-1208, 2004. ,
Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks, Neural Computation, vol.7, issue.7, pp.1413-1449, 2004. ,
DOI : 10.1126/science.274.5293.1724
Fpga cell example. URL http://upload.wikimedia.org/wikipedia ,
URL https ,
A review on polymer electrolyte membrane fuel cell catalyst degradation and starvation issues: Causes, consequences and diagnostic for mitigation, Journal of Power Sources, vol.194, issue.1, pp.130-145, 2009. ,
DOI : 10.1016/j.jpowsour.2009.03.060
Oxygen starvation analysis during air feeding faults in PEMFC, International Journal of Hydrogen Energy, vol.35, issue.22, pp.12295-12307, 2010. ,
DOI : 10.1016/j.ijhydene.2010.08.028
Diagnosis of polymer electrolyte fuel cells failure modes (flooding & drying out) by neural networks modeling, International Journal of Hydrogen Energy, vol.36, issue.4, pp.3067-3075, 2011. ,
DOI : 10.1016/j.ijhydene.2010.10.077
URL : https://hal.archives-ouvertes.fr/hal-00880498
Prognostics and Health Management of PEMFC ??? State of the art and remaining challenges, International Journal of Hydrogen Energy, vol.38, issue.35, pp.15307-15317, 2013. ,
DOI : 10.1016/j.ijhydene.2013.09.051
URL : https://hal.archives-ouvertes.fr/hal-00872866
Prognostics of PEM fuel cell in a particle filtering framework, International Journal of Hydrogen Energy, vol.39, issue.1, pp.481-494, 2014. ,
DOI : 10.1016/j.ijhydene.2013.10.054
URL : https://hal.archives-ouvertes.fr/hal-00903643
Digital Implementation of a Single Dynamical Node Reservoir Computer, IEEE Transactions on Circuits and Systems II: Express Briefs, vol.62, issue.10, pp.977-981, 2015. ,
DOI : 10.1109/TCSII.2015.2458071
Time series prediction: Forecasting the future and understanding the past, International Journal of Forecasting, vol.10, issue.3, pp.463-466, 1994. ,
DOI : 10.1016/0169-2070(94)90077-9
Connected digit recognition by means of reservoir computing, INTER- SPEECH 2011, 2011. ,
DOI : 10.1016/j.csl.2014.09.006
Reservoir Computing and Self-Organized Neural Hierarchies, 2011. ,
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication, Science, vol.304, issue.5667, pp.78-80, 2004. ,
DOI : 10.1126/science.1091277
Stability analysis of a single neuron model with delay, Journal of Computational and Applied Mathematics, vol.157, issue.1, pp.73-92, 2003. ,
DOI : 10.1016/S0377-0427(03)00376-5
Generalization of neuron network model with delay feedback 1, pp.1-12, 2015. ,
Hopf bifurcation and chaos in a single inertial neuron model with time delay, The European Physical Journal B, vol.7, issue.3, pp.337-343, 2004. ,
DOI : 10.1140/epjb/e2004-00327-2
Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents, 2015 7th International Conference on Computational Intelligence, Communication Systems and Networks, pp.146-151, 2015. ,
DOI : 10.1109/CICSyN.2015.35
Real-time Audio Processing with a Cascade of Discrete-Time Delay Line-Based Reservoir Computers, Cognitive Computation, vol.26, issue.2, 2017. ,
DOI : 10.1109/ICME.2001.1237829