• Boikov, I.; de Rossi, A.; Brunner, D.; "Direct coupling of nonlinear integrated cavities for all-optical reservoir computing", New J. Phys. 25, 093056 (2023). DOI: 10.1088/1367-2630/acfba6. arxiv:2307.10950.
  • Ohana, R.; Hesslow, D.;; Brunner, D.; Gigan, S.; Müller, K.; "Linear Optical Random Projections Without Holography", Optics Express 31, 25881 (2023). DOI: 10.1364/OE.496224. arxiv:2305.12988
  • Volpe, G.; et al.; "Roadmap on Deep Learning for Microscopy".arxiv:2303.03793
  • Semenov, V.; Porte, X.; Larger, L.; Brunner, D.; "Deterministic and stochastic coarsening control in optically-addressed spatial light modulators subject to optical feedback", Phys. Rev. B 108, 024307 (2023). DOI: 10.1103/PhysRevB.108.024307. arxiv:2302.13636
  • Grabulosa, A.; Porte, X.; Jung, E.; Moughames, J.; Kadic, M.; Brunner, D.; "(3+1)D-printed adiabatic 1-to-N broadband couplers", Optics Express 31, 20256 (2023).DOI: 10.1364/OE.486235. arxiv:2208.09767
  • Shih, C.W.; Limame, I.; Krüger, S.; Palekar, C.C.; Koulas-Simos, A.; Brunner, D.; Reitzenstein, S.; "Low-threshold lasing of optically pumped micropillar lasers with Al0.2Ga0.8As/Al0.9Ga0.1As distributed Bragg reflectors", Appl. Phys. Lett. 122, 151111 (2023). DOI: 10.1063/5.0143236. arxiv:2301.08026
  • Grabulosa, A.;Moughames, J.; Porte, X.; Kadic, M.; Brunner, D.; "Additive 3D photonic integration that is CMOS compatible", Nanotechnology 34, 322002 (2023). DOI: 10.1088/1361-6528/acd0b5. arxiv:2301.00983
  • Pflüger, M.; Brunner, D.; Heuser, T.; Lott, J.A.; Reitzenstein, S.; Fischer, I.; "Injection locking and coupling the emitters of large VCSEL arrays via diffraction in an external cavity", Optics Express 31, 8704 (2023). DOI: 10.1364/OE.473449. arxiv:2208.09765


  • Cucchi, M.; Abreu, S.; Ciccone, G.; Brunner, D.; Kleemann, H.; "Hands-on reservoir computing: a tutorial for practical implementation," Neuromorph. Comput. Eng. 2, 032002 (2022).DOI: 10.1088/2634-4386/ac7db7/meta#nceac7db7s5
  • Skalli, A.; Porte, X.; Haghighi, N.; Reitzenstein, S.; Lott, J.A.; Brunner, D.; "Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing," Optical Materials Express 12, 2793 (2022). DOI: 10.1364/OME.451524. arXiv:2112.08947
  • Skalli, A.; Robertson, J.; Owen-Newns, D.; Hejda, M.; Porte, X.; Reitzenstein, S.; Hurtado, A.; Brunner, D.; "Photonic neuromorphic computing using vertical cavity semiconductor lasers," Optical Materials Express 12, 2395 (2022). DOI: 10.1364/OME.450926. arXiv:2112.08086
  • Semenova, N.; Brunner, D.; "Noise-mitigation strategies in physical feedforward neural networks", Chaos 32, 061106 (2022). DOI: 10.1063/5.0096637. arxiv:2204.09461.
  • Grabulosa, A.; Porte, X.; Moughames, J.; Brunner, D.; "Combining one and two photon polymerization for accelerated high performance (3+1)D photonic integration,"  Nanophotonics 11, 1591 (2022). DOI: 10.1515/nanoph-2021-0733. arxiv:2112.07495.
  • Huang, C.; et al.; "Prospects and applications of photonic neural networks," Advances in Physics: X 7, 1981155 (2022). DOI: 10.1080/23746149.2021.1981155. arxiv:2105.09943.
  • Semenova, N.; Larger, L.; Brunner, D.; "Understanding and mitigating noise in trained deep neural networks," Neural Networks 146, 151 (2021). DOI: 10.1016/j.neunet.2021.11.008. arxiv:2103.07413.
  • Porte, X.; Brunner, D.; Fischer, I.; Soriano, M.; "Nonlinear Dynamics of a Single-Mode Semiconductor Laser with Long Delayed Optical Feedback: A Modern Experimental Characterization Approach ," Photonics 9, 47 2022. DOI: 10.3390/photonics9010047.


  • Semenov, V.; Porte, X.; Abdulhalim, I.; Larger, L.; Brunner, D.; "Two-color optically-addressed spatial light modulator as generic spatio-temporal systems," Chaos 31, 121104 (2021). DOI: 10.1063/5.0076846. arxiv:2111.01423.
  • Brunner, D.; Lager, L.; Soriano, M.C.; "Nonlinear photonic dynamical systems for unconventional computing," Nonlinear Theory and Its Applications, IEICE 13, 26-35 (2021). DOI: 10.1587/nolta.13.26.
  • Porte, X.; Dinc, N.U.; Moughames, J.; Panusa, G.; Juliano, C.; Kadic, M.; Moser, C.; Brunner, D.; Psaltis, D.; "Direct (3+1)D laser writing of graded-index optical elements,"  Optica 8, 1281(2021). DOI: 10.1364/OPTICA.433475. arxiv:2106.01778.
  • Brunner, D.; Psaltis, D.; "Competitive photonic neural networks," Nat. Photonics 15, 323–324 (2021). DOI: 10.1038/s41566-021-00803-0.
  • Porte, X.; Skalli, A.; Haghighi, N.; Reitzenstein, S.; Lott, J.A.; Brunner, D.; "A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser," J. Phys. Photonics 3, 024017 (2021). DOI: 10.1088/2515-7647/abf6bd. arXiv:2012.11153.
  • Andreoli, L.; Porte, X.; Heuser, T.; Große, J.; Moeglen-Paget, B.; Furfaro, L.; Reitzenstein, S.; Brunner, D.; "Optical pumping of quantum dot micropillar lasers," Optics Express 29, 9084 (2021). DOI: 10.1364/OE.417063. arXiv:2102.07388
  • Genty, G.; Salmela, L.; Dudley, J.M.; Brunner, D.; Kokhanovskiy, A.; Kobtsev, S.; Turitsyn, S.K.; "Machine Learning and Applications in Ultrafast Photonics," Nature Photonics 15, 91 (2021). DOI: 10.1038/s41566-020-00716-4
  • Antonik, P.; Marsal, N.; Brunner, D.; Rontani, D.; "Bayesian optimisation of large-scale photonic reservoir computers," Cognitive Computation (2021). DOI: 10.1007/s12559-020-09732-6. arXiv:2004.02535.


  • Dinc, N. U.; Psaltis, D.; Brunner, D.; "Optical Neural Networks: The 3D connection," Photonique 104, Focus: Photonics and Artificial intelligence, 34 (2020). DOI: 10.1051/photon/202010434
  • Moughames, J.; Porte, X.; Jacquot, M.; Larger, L.; Kadic, M.; Brunner, D.; "3D printed multimode-splitters for photonic interconnects," Optical Materials Express 10,  2952 (2020). DOI: 10.1364/OME.402974
  • Heuser, T.; Pflüger, M.; Fischer, I.; Lott, J. A.; Brunner, D.; Reitzenstein, S.; "Developing of a photonic hardware platform for brain-inspired computing based on 5X5 VCSEL arrays," JPhys Photonics 2, 044002 (2020). DOI: 10.1088/2515-7647/aba671.
  • Brunner, D.; Marandi, A.; Bogaerts, W.; Ozcan, A.; "Editorial: Photonics for computing and computing for photonics", Nanophotonics 9, special issue: Photonics for computing and computing for photonics (2020). DOI: 10.1515/nanoph-2020-0470 .
  • Andreoli, L.; Porte, X.; Chrétien, S.; Jacquot, M.; Larger, L.; Brunner, D.; "Boolean learning under noise-perturbations in hardware neural networks," Nanophotonics 9, special issue: Photonics for computing and computing for photonics (2020). DOI: 10.1515/nanoph-2020-0171.
  • Pierangeli, D.; Marcucci, G.; Brunner, D.; Conti, C.; "Noise-enhanced spatial-photonic Ising machine," Nanophotonics 9, special issue: Photonics for computing and computing for photonics (2020). DOI: 10.1515/nanoph-2020-0119.
  • Moughames, J.; Porte, X.; Thiel, M.; Ulliac, G.; Jacquot, M.; Larger, L.; Kadic, M.; Brunner, D.; "Three-dimensional waveguide interconnects for scalable integration of photonic neural networks," Optica 7, 640 (2020).  DOI: 10.1364/OPTICA.388205.
  • Prucnal, P.R.; Shastri, B.J.; Fischer, I.; Brunner, D.; "Introduction to JSTQE Issue on Photonics for Deep Learning and Neural Computing," IEEE Journal of Selected Topics in Quantum Electronics 26, 2965384 (2020). DOI: 10.1109/JSTQE.2020.2965384.


  • Froehly, L.; Courvoisier, F.; Brunner, D.; Larger, L.; Devaux, F.; Lantz, E.; Dudley, J. M.; Jacquot, M.; "Advancing Fourier: space–time concepts in ultrafast optics, imaging, and photonic neural networks ," Journal of the Optical Society of America A 36,  C69 (2019). DOI: 10.1364/JOSAA.36.000C69.
  • Semenova, N.; Porte, X.; Andreoli, L.; Jacquot, M.; Larger, L.; Brunner, D.; "Fundamental aspects of noise in analog-hardware neural networks," Chaos 29, 103128 (2019). DOI: 10.1063/1.5120824.
  • Antonik, P.; Marsal, N.; Brunner, D.; Rontani, D.; "Human actions recognition with a large-scale brain-inspired photonic computer," Nature Machine Intelligence 1, 530–537 (2019). DOI: 10.1038/s42256-019-0110-8.
  • BOOK: "PHOTONIC RESERVOIR COMPUTING (Optical Recurrent Neural Networks)". Editors: Brunner, D.; Soriano, M.C.; Van der Sande, G.; De Gruyter (2019). link to publisher.
  • Chembo, Y.K.; Brunner, D.; Jacquot, M.; Larger, L.; "Optoelectronic oscillators with time-delayed feedback," Reviews of Modern Physics 91, 035006 (2019). DOI: 10.1103/RevModPhys.91.035006.
  • Maktoobi, S.; Froehly, L.; Anreoli, L.; Porte, X.; Jacquot, M.; Larger, L.; Brunner, B.; "Diffractive coupling for photonic networks: how big can we go?," IEEE Journal of Selected Topics in Quantum Electronics 26, 7600108 (2020). DOI: 10.1109/JSTQE.2019.2930454.
  • Penkovsky, B.; Porte, X.; Jacquot, M.; Larger, L.; Brunner, B.; "Coupled nonlinear delay systems as deep convolutional neural networks," Physical Review Letters 123, 054101 (2019). DOI: 10.1103/PhysRevLett.123.054101.


  • Penkovsky, B.; Larger, L.; Brunner, B.; " Efficient design of hardware-enabled reservoir computing in FPGAs," Journal of Applied Physics 124, 162101 (2018). DOI: 10.1063/1.5039826
  • Brunner, D.; Penkovsky, B.; Marquez, B. A.; Fischer, I.; Larger, L.; "Tutorial: Photonic neural networks in delay systems," Journal of Applied Physics 124, 152004 (2018). DOI: 10.1063/1.5042342
  • Brunner, D.; Penkovsky, B.; Levchenko, R.; Schöll, E.; Larger, L.; Maistrenko, Y.; "Two-dimensional spatiotemporal complexity in dual-delayed nonlinear feedback systems: Chimeras and dissipative solitons," Chaos 28, 103106 (2018). DOI: 10.1063/1.5043391
  • Heuser, T.; Große, J.; Kaganskiy, A.; Brunner, D.; Reitzenstein, S.; "Fabrication of dense diameter-tuned quantum dot micropillar arrays for applications in photonic information processing," APL Photonics 3, 116103 (2018). DOI: 10.1063/1.5050669
  • Bueno, J.; Maktoobi, S.; Froehly, L.; Fischer, I.; Jacquot, M.; Larger, L.; Brunner, D.; "Reinforcement learning in a large-scale photonic recurrent neural network," Optica 5, 756 (2018). DOI: 10.1364/OPTICA.5.000756
  • Marquez, B. A.; Larger, L.; Jacquot, M.;Chembo, Y. K.; Brunner, D.; "Dynamical complexity and computation in recurrent neural networks beyond their fixed point," Scientific Reports 8, 3319 (2018). DOI: 10.1038/s41598-018-21624-2


  • Brunner, D.; Jacquot, M.; Fischer, I.; Larger, L.; "Photonic networks for Neuromorphic Computing," Frontiers in Optics 2017, OSA Technical Digest, paper FTh2E.3. DOI: 10.1364/FIO.2017.FTh2E.3
  • Hicke, K.; Brunner, D.; Soriano, M. C.; Fischer, I.; "Role of dynamical injection locking and characteristic pulse events for low frequency fluctuations in semiconductor lasers," Chaos 27, 114307 (2017). DOI: 10.1063/1.5006945
  • Tchawou Tchuisseu, E. B.; Gomila, D.; Brunner, D.; Colet, P.; "Effects of dynamic-demand-control appliances on the power grid frequency," Phys. Rev. E 69, 022302 (2017). DOI: 10.1103/PhysRevE.96.022302
  • Brunner, D.; Jacquot, M.; Fischer, I.; Larger, L.; "A complex network of 1600 holographically coupled opto-electronic oscillators: network dynamics and utilisation for reservoir computing," 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference, paper CD_10_4.. DOI: 10.1109/CLEOE-EQEC.2017.8086462
  • Bueno, J.; Brunner, D.; Soriano, M. C.; Fischer, I.; "Photonic Information Processing at 20GS/s rates based on Semiconductor Lasers with Delayed Optical Feedback ," 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference, paper CD_P_38. DOI: 10.1109/CLEOE-EQEC.2017.8086565
  • Van der Sande, G.; Brunner, D.; Soriano, M. C.; "Advances in photonic reservoir computing," Nanophotonics 6, 561-576 (2017). DOI: 10.1515/nanoph-2016-0132
  • Bueno, J.; Brunner, D.; Soriano, M. C.; Fischer, I.; "Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback," Optics Express 25, 2401-2412 (2017). DOI: 10.1364/OE.25.002401
  • Brunner, D.; Luna, R.; Delhom i Latorre, A; Porte, X.; Fischer, I.; "Semiconductor laser linewidth reduction by six orders of magnitude via delayed optical feedback," Optics Letters 42, 163-166 (2017). DOI: 10.1364/OL.42.000163


  • Brunner, D.; Reitzenstein, S.; Fischer, I.; "All-Optical Neuromorphic Computing in Optical Networks of Semiconductor Lasers," 2016 IEEE INTERNATIONAL CONFERENCE ON REBOOTING COMPUTING (ICRC). DOI: 10.1109/ICRC.2016.7738705
  • Marquez, B. A.; Larger, L.; Brunner, D.; Chembo, Y. K.; Jacquot, M.; "Interaction between Lienard and Ikeda dynamics in a nonlinear electro-optical oscillator with delayed bandpass feedback," Phys. Rev. E 94, 062208 (2016). DOI: 10.1103/PhysRevE.94.062208
  • Porte, X.; Soriano, M. C.; Brunner, D.; Fischer, I.; “Bidirectional private key exchange using delay-coupled semiconductor lasers,” Optics Letters 41, 2871 (2016). DOI: 10.1364/OL.41.002871


  • Soriano, M.C; Brunner, D.; Escalona-Moran, M.; Mirasso, C.R.; Fischer, I.; “Minimal approach to neuro-inspired information processing,” Frontiers in computational Neuroscience 9, 68 (2015). DOI: 10.3389/fncom.2015.00068
  • Brunner, D.; Fischer, I.; “Reconfigurable semiconductor laser networks based on diffractive coupling,” Optics Letters 40, 3854-3857 (2015). DOI: 10.1364/OL.40.003854
  • Ortín, S.; San-Martín, D.; Pesquera, L.; Soriano M.C.; Brunner, D.; Fischer, I.; Mirasso, C.R.; Gutiérrez, J.M.; “A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron,” Scientific Reports 5, 14945 (2015). DOI: 10.1038/srep14945
  • Brunner, D.; Soriano, M. C.; Porte, X.; Fischer, I.; “Experimental phase-space tomography of semiconductor laser dynamics,” Physical Review Letters 115, 053901 (2015). DOI: 10.1103/PhysRevLett.115.053901
  • Soriano M.C.; Brunner, D.; Escalona-Morán, M.; Mirasso, C.R.; Fischer, I.; “Minimal approach to neuro-inspired information processing, under review,” Frontiers in Computational Neuroscience 9, 68 (2015). DOI: 10.3389/fncom.2015.00068


  • Porte, X; D'Huys, O; Jüngling, T; Brunner, D.; Soriano, M. C.; Fischer, I.; “Autocorrelation properties of chaotic delay dynamical systems: A study on semiconductor lasers,” Phys. Rev. E. 90, 052911 (2014). DOI: 10.1103/PhysRevE.90.052911
  • Houel, J.; Prechtel, J. H.; Brunner, D.; Kuklewicz, C. E.; Gerardot, B D.; Stoltz, N. G.; Petro, P. M.; Warburton; “High-resolution measurement of coherent population trapping of a single hole-spin in an InGaAs quantum dot using optical absorption spectroscopy,” Phys. Rev. Lett. 112, 107401 (2014). DOI: 10.1103/PhysRevLett.112.107401


  • Kuhlmann, A.V.; Houel, J.; Brunner, D.; Ludwig, A.; Reuter, D.; Wieck, A.D.; Warburton, R.J.; “A dark-field microscope for background-free detection of resonance fluorescence from single semiconductor quantum dots operating in a set-and-forget mode,” Review of Scientific Instruments 84, 073905 (2013). DOI: 10.1063/1.4813879 
  • Brunner, D.; Soriano, M. C.; Fischer, I.; “High-Speed Optical Vector and Matrix Operations Using a Semiconductor Laser,” IEEE Photonics Technology Letters 25, 1680. (2013). DOI: 10.1109/LPT.2013.2273373
  • Hicke, K.; Escalona, M.; Brunner, D.; Soriano, M.C.; Fischer, I.; Mirasso, C.; “Information Processing using transient Dynamics of semiconductor lasers subject to delayed feedback,” IEEE Journal of Selected Topics in Quantum Electronics 19 , 1501610 (2013). DOI: 10.1109/JSTQE.2013.2241738
  • Brunner, D.; Soriano, M.C.; Mirasso, C.; Fischer, I.; “Parallel photonic information processing at GByte/s data rates using transient states,” Nature Communications 4, 1364 (2013). DOI: 10.1038/ncomms2368
  • Soriano, M. C.; Ortín, S.; Brunner, D.; Larger, L.; Mirasso, C. R.; Fischer, I.; Pesquera, L.; “Optoelectronic reservoir computing: tackling noise-induced performance degradation,” Optics Express 21, 12 – 20 (2013). DOI: 10.1364/OE.21.000012

2012 and previous

  • Brunner, D.; Porte, X.; Soriano, M.C.; Fischer, I.; “Real-time frequency dynamics and high-resolution spectra of a semiconductor laser with delayed feedback,” Scientific Reports 2, 732 (2012). DOI: 10.1038/srep00732
  • Larger, L.; Soriano, M.C.; Brunner, D.; Appeltant, L.; Gutierrez, J.M.; Pesquera, L.; Mirasso, C.R.; Fischer, I.; “Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing,” Optics Express. 20, 3241 – 3249 (2012). DOI: 10.1364/OE.20.003241
  • Gerardot, B.D.; Barbour, R.J.; Brunner, D.; Dalgarno, P.A.; Badolato, A.; Stoltz, N.; Petroff, M.P.; Houel, J.; Warburton, R.J.; “ Laser spectroscopy of individual quantum dots charged with a single hole,” Applied Physics Letters. 99, pp. 243112 (2011). DOI: 10.1063/1.3665951
  • Kloeffel, C.; Dalgarno, P.A.; Urbaszek, B.; Gerardot, B.D.; Brunner, D.; Petroff, P.M.; Loss; D.; Warburton, R.J.; “Controlling the Interaction of Electron and Nuclear Spins in a Tunnel-Coupled Quantum Dot,” Physical Review Letters. 106, pp. 046802 (2001). DOI: 10.1103/PhysRevLett.106.04680
  • Brunner, D; Gerardot, B.D.; Dalgarno. A.; Stoltz, N.G.; Petroff, M.P.; Warburton, R.J.; “Optical Manipulation Of A Single Spin In A Quantum Dot,” Journal of Physics Conference Series 2010.
  • Brunner, D.; Gerardot, B.D.; Dalgarno, P.A.; Wust, G.; Karrai, K.; Stoltz, N.G.; Petroff, P.M.; Warburton, R.J.; “A Coherent Single-Hole Spin in a Semiconductor,” Science 325, pp. 70 – 72 (2009). DOI: 10.1126/science.1173684
  • Gerardot, B.D.; Brunner, D.; Dalgarno, P.A.; Karrai, K.; Badolato, A.; Petroff, P.M.; Warburton, R.J.; “Dressed excitonic states and quantum interference in a three-level quantum dot ladder system,” New Journal of Physics 11, 013028 (2009), DOI: 10.1088/1367-2630/11/1/013028
  • Dalgarno, P.A.; McFarlane, J.; Brunner, D.; Lambert, R.W.; Gerardot, B.D.; Warburton, R.J.; Karrai, K.; Badolato, A.; Petroff, P.M.; “Hole recapture limited single photon generation from a single n-type charge-tunable quantumdot,” Applied Physics Letters 92, 193103 (2008). DOI: 10.1063/1.2924315
  • Gerardot, B.D.; Brunner, D.; Dalgarno, P.A.; Ohberg, P.; Seidl,S.; Kroner, M.; Karrai, K.; Stoltz, N.G.; Petroff, P.M.; Warburton, R.J.; “Optical pumping of a single hole spin in a quantum dot,” Nature 451, 441 (2008). DOI: 10.1038/nature06472