Bibliography

Major publications by the team in recent years

• 1R. Cofré, B. Cessac.
  Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses, in: Chaos, Solitons & Fractals, 2013, vol. 50, n^o 13, 3 p.
• 2R. Cofré, B. Cessac.
  Exact computation of the maximum-entropy potential of spiking neural-network models, in: Phys. Rev. E, 2014, vol. 89, n^o 052117.
• 3M.-J. Escobar, G. S. Masson, T. Viéville, P. Kornprobst.
  Action Recognition Using a Bio-Inspired Feedforward Spiking Network, in: International Journal of Computer Vision, 2009, vol. 82, n^o 3, 284 p.
• 4O. Faugeras, J. Touboul, B. Cessac.
  A constructive mean field analysis of multi population neural networks with random synaptic weights and stochastic inputs, in: Frontiers in Computational Neuroscience, 2009, vol. 3, n^o 1. [ DOI : 10.3389/neuro.10.001.2010 ]
  http://arxiv.org/abs/0808.1113
• 5T. Masquelier, G. Portelli, P. Kornprobst.
  Microsaccades enable efficient synchrony-based coding in the retina: a simulation study, in: Scientific Reports, April 2016, vol. 6, 24086. [ DOI : 10.1038/srep24086 ]
  http://hal.upmc.fr/hal-01301838
• 6D. Matzakos-Karvouniari, L. Gil, E. Orendorff, O. Marre, S. Picaud, B. Cessac.
  A biophysical model explains the spontaneous bursting behavior in the developing retina, in: Scientific Reports, December 2019, vol. 9, n^o 1, pp. 1-23. [ DOI : 10.1038/s41598-018-38299-4 ]
  https://hal.sorbonne-universite.fr/hal-02045700
• 7N. V. K. Medathati, H. Neumann, G. S. Masson, P. Kornprobst.
  Bio-Inspired Computer Vision: Towards a Synergistic Approach of Artificial and Biological Vision, in: Computer Vision and Image Understanding (CVIU), April 2016. [ DOI : 10.1016/j.cviu.2016.04.009 ]
  https://hal.inria.fr/hal-01316103
• 8J. Naudé, B. Cessac, H. Berry, B. Delord.
  Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks, in: Journal of Neuroscience, 2013, vol. 33, n^o 38, pp. 15032-15043. [ DOI : 10.1523/JNEUROSCI.0870-13.2013 ]
  https://hal.inria.fr/hal-00844218
• 9J. Rankin, A. I. Meso, G. S. Masson, O. Faugeras, P. Kornprobst.
  Bifurcation Study of a Neural Fields Competition Model with an Application to Perceptual Switching in Motion Integration, in: Journal of Computational Neuroscience, 2014, vol. 36, n^o 2, pp. 193–213.
• 10A. Wohrer, P. Kornprobst.
  Virtual Retina : A biological retina model and simulator, with contrast gain control, in: Journal of Computational Neuroscience, 2009, vol. 26, n^o 2, 219 p, DOI 10.1007/s10827-008-0108-4.

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 11S. Souihel.
  Generic and specific computational principles for visual anticipation of motion trajectories, Université Nice Côte d'Azur ; EDSTIC, December 2019.
  https://hal.inria.fr/tel-02414632

Articles in International Peer-Reviewed Journals

• 12M. Carlu, O. Chehab, L. Dalla Porta, D. Depannemaecker, C. Héricé, M. Jedynak, E. Köksal Ersöz, P. Muratore, S. Souihel, C. Capone, Y. Zerlaut, A. Destexhe, M. Di Volo.
  A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models, in: Journal of Neurophysiology, December 2019, forthcoming. [ DOI : 10.1152/jn.00399.2019 ]
  https://hal.inria.fr/hal-02414751
• 13B. Cessac.
  Linear response in neuronal networks: from neurons dynamics to collective response, in: Chaos, October 2019, vol. 29, n^o 103105. [ DOI : 10.1063/1.5111803 ]
  https://hal.inria.fr/hal-02280089
• 14D. Matzakos-Karvouniari, L. Gil, E. Orendorff, O. Marre, S. Picaud, B. Cessac.
  A biophysical model explains the spontaneous bursting behavior in the developing retina, in: Scientific Reports, December 2019, vol. 9, n^o 1, pp. 1-23. [ DOI : 10.1038/s41598-018-38299-4 ]
  https://hal.sorbonne-universite.fr/hal-02045700
• 15N. Stolowy, A. Calabrese, L. Sauvan, C. Aguilar, T. François, N. Gala, F. Matonti, E. Castet.
  The influence of word frequency on word reading speed when individuals with macular diseases read text, in: Vision Research, February 2019, vol. 155, pp. 1-10. [ DOI : 10.1016/j.visres.2018.12.002 ]
  https://hal.archives-ouvertes.fr/hal-02360849

Invited Conferences

• 16B. Cessac, D. Matzakos-Karvouniari, L. Gil.
  Modelling spontaneous propagating waves in the early retina, in: Waves Côte d'azur, Nice, France, June 2019.
  https://hal.inria.fr/hal-02268281
• 17B. Cessac, S. Souihel.
  Motion anticipation in the retina, in: NeuroSTIC 2019 - 7e édition des journées NeuroSTIC, Sophia-Antipolis, France, October 2019.
  https://hal.inria.fr/hal-02316888
• 18B. Cessac, S. Souihel, M. Di Volo, F. Chavane, A. Destexhe, S. Chemla, O. Marre.
  Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing, in: Workshop on visuo motor integration, Paris, France, June 2019.
  https://hal.inria.fr/hal-02150600
• 19E. Kartsaki, B. Cessac, G. Hilgen, E. Sernagor.
  Probing retinal function with a multi-layered simulator, in: The Rank Prize Funds - Symposium on The retinal processing of natural signals, Grasmere, United Kingdom, June 2019.
  https://hal.archives-ouvertes.fr/hal-02389076

International Conferences with Proceedings

• 20S. Souihel, B. Cessac.
  Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing, in: ICMNS 2019 - The 5th International Conference on Mathematical NeuroScience, Copenhague, Denmark, June 2019.
  https://hal.inria.fr/hal-02167737
• 21S. Souihel, B. Cessac, M. D. Volo, A. Destexhe, F. Chavane, S. Chemla, O. Marre.
  Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing, in: Waves Côte d'Azur, Nice, France, June 2019.
  https://hal.inria.fr/hal-02172010
• 22S. Souihel, B. Cessac, M. D. Volo, A. Destexhe, F. Chavane, S. Chemla, O. Marre.
  Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing, in: NeuroMod 2019 - First meeting of the NeuroMod Institute, Fréjus, France, July 2019.
  https://hal.inria.fr/hal-02172016

National Conferences with Proceedings

• 23B. Cessac, M. Mantegazza.
  Modelling of physiological and pathological states in neuroscience: exchanges among theoreticians and experimentalists, in: NeuroMod 2019 - First meeting of the NeuroMod Institute, Fréjus, France, July 2019.
  https://hal.inria.fr/hal-02171428

Conferences without Proceedings

• 24E. Kartsaki, B. Cessac, G. Hilgen, E. Sernagor.
  Probing retinal function with a multi-layered simulator, in: NeuroMod 2019 - First meeting of the NeuroMod Institute, Fréjus, France, July 2019.
  https://hal.archives-ouvertes.fr/hal-02389086
• 25D. Karvouniari, L. Gil, O. Marre, S. Picaud, B. Cessac.
  Multi scale dynamics in retinal waves, in: LACONEU 2019 - 5th Latin American Summer School in Computational Neuroscience - Workshop Large Scale Network Dynamics, Valparaiso, Chile, January 2019.
  https://hal.archives-ouvertes.fr/hal-01986989

Internal Reports

• 26H.-Y. Wu, A. Calabrese, P. Kornprobst.
  Towards Accessible News Reading Design in Virtual Reality for Low Vision, UCA ; Inria, October 2019, n^o RR-9298, 20 p.
  https://hal.inria.fr/hal-02321739
• 27H.-Y. Wu, P. Kornprobst.
  Multilayered Analysis of Newspaper Structure and Design, UCA, Inria, July 2019, n^o RR-9281.
  https://hal.inria.fr/hal-02177784

Other Publications

• 28T. Andréoletti.
  Simulating the cortical activity evoked by artificial retinal implants, ENSEA-Inria, August 2019.
  https://hal.inria.fr/hal-02292831
• 29T. Andréoletti, F. Chavane, S. Roux, B. Cessac.
  Simulating the cortical activity evoked by artificial retinal implants, July 2019, NeuroMod 2019 - First meeting of the NeuroMod Institute, Poster.
  https://hal.inria.fr/hal-02167729
• 30A. Capurro, J. Thornton, B. Cessac, L. Armstrong, E. Sernagor.
  On the role of Nav1.7 sodium channels in chronic pain: an experimental and computational study, December 2019, working paper or preprint. [ DOI : 10.1101/871236 ]
  https://hal.inria.fr/hal-02414907
• 31B. Cessac.
  Linear response in neuronal networks: from neurons dynamics to collective response, January 2019, Lecture.
  https://hal.archives-ouvertes.fr/cel-01986987
• 32S. Ebert.
  Dynamical synapses in the retina, Universite Cote d'Azur, June 2019.
  https://hal.inria.fr/hal-02317438
• 33E. Kartsaki, G. Hilgen, B. Cessac, E. Sernagor.
  Probing retinal function with a multi-layered simulator, September 2019, ERM 2019 - The European retina meeting, Poster.
  https://hal.archives-ouvertes.fr/hal-02389096
• 34D. Matzakos-Karvouniari, B. Cessac, L. Gil.
  Noise driven broadening of the neural synchronisation transition in stage II retinal waves, December 2019, https://arxiv.org/abs/1912.03934 - working paper or preprint.
  https://hal.inria.fr/hal-02402380
• 35S. Menssor.
  The Quertant Method: Building a survey for a pilot evaluation, Université Côte d'Azur, CNRS, I3S, France, June 2019.
  https://hal.inria.fr/hal-02300790

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