Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
[1]
R. 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, no 13, 3 p.
[2]
R. Cofré, B. Cessac.
Exact computation of the maximum-entropy potential of spiking neural-network models, in: Phys. Rev. E, 2014, vol. 89, no 052117.
[3]
M.-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, no 3, 284 p.
[4]
O. 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, no 1. [ DOI : 10.3389/neuro.10.001.2010 ]
http://arxiv.org/abs/0808.1113
[5]
T. 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
[6]
D. 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, no 1, pp. 1-23. [ DOI : 10.1038/s41598-018-38299-4 ]
https://hal.sorbonne-universite.fr/hal-02045700
[7]
N. 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
[8]
J. 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, no 38, pp. 15032-15043. [ DOI : 10.1523/JNEUROSCI.0870-13.2013 ]
https://hal.inria.fr/hal-00844218
[9]
J. 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, no 2, pp. 193–213.
[10]
A. Wohrer, P. Kornprobst.
Virtual Retina : A biological retina model and simulator, with contrast gain control, in: Journal of Computational Neuroscience, 2009, vol. 26, no 2, 219 p, DOI 10.1007/s10827-008-0108-4.
Publications of the year

Doctoral Dissertations and Habilitation Theses

[11]
S. 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

[12]
M. 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
[13]
B. Cessac.
Linear response in neuronal networks: from neurons dynamics to collective response, in: Chaos, October 2019, vol. 29, no 103105. [ DOI : 10.1063/1.5111803 ]
https://hal.inria.fr/hal-02280089
[14]
D. 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, no 1, pp. 1-23. [ DOI : 10.1038/s41598-018-38299-4 ]
https://hal.sorbonne-universite.fr/hal-02045700
[15]
N. 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

[16]
B. 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
[17]
B. 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
[18]
B. 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
[19]
E. 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

[20]
S. 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
[21]
S. 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
[22]
S. 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

[23]
B. 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

[24]
E. 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
[25]
D. 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

[26]
H.-Y. Wu, A. Calabrese, P. Kornprobst.
Towards Accessible News Reading Design in Virtual Reality for Low Vision, UCA ; Inria, October 2019, no RR-9298, 20 p.
https://hal.inria.fr/hal-02321739
[27]
H.-Y. Wu, P. Kornprobst.
Multilayered Analysis of Newspaper Structure and Design, UCA, Inria, July 2019, no RR-9281.
https://hal.inria.fr/hal-02177784

Other Publications

[28]
T. Andréoletti.
Simulating the cortical activity evoked by artificial retinal implants, ENSEA-Inria, August 2019.
https://hal.inria.fr/hal-02292831
[29]
T. 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
[30]
A. 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
[31]
B. Cessac.
Linear response in neuronal networks: from neurons dynamics to collective response, January 2019, Lecture.
https://hal.archives-ouvertes.fr/cel-01986987
[32]
S. Ebert.
Dynamical synapses in the retina, Universite Cote d'Azur, June 2019.
https://hal.inria.fr/hal-02317438
[33]
E. 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
[34]
D. 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
[35]
S. 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
References in notes
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Designing and testing scene enhancement algorithms for patients with retina degenerative disorders, in: Biomedical engineering online, 2010, vol. 9, no 1, 27 p.
[37]
W. I. Al-Atabany, T. Tong, P. A. Degenaar.
Improved content aware scene retargeting for retinitis pigmentosa patients, in: Biomedical engineering online, 2010, vol. 9, no 1.
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A document straight line based segmentation for complex layout extraction, in: Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017.
[39]
F. M. Atay, S. Banisch, P. Blanchard, B. Cessac, E. Olbrich.
Perspectives on Multi-Level Dynamics, in: The interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity, 2016, vol. 5, pp. 313 - 339. [ DOI : 10.5890/DNC.2016.09.009 ]
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[40]
M. Auvray, E. Myin.
Perception With Compensatory Devices: From Sensory Substitution to Sensorimotor Extension, in: Cognitive Science, 2009, vol. 33, no 6, pp. 1036–1058.
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Seam Carving for Content-aware Image Resizing, in: ACM Trans. Graph., July 2007, vol. 26, no 3.
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[42]
B. Cessac, R. Cofre.
Linear response for spiking neuronal networks with unbounded memory, October 2018, https://arxiv.org/abs/1704.05344 - working paper or preprint.
https://hal.inria.fr/hal-01895095
[43]
B. Cessac, R. Cofré.
Spike train statistics and Gibbs distributions, in: Journal of Physiology-Paris, November 2013, vol. 107, no 5, pp. 360-368, Special issue: Neural Coding and Natural Image Statistics.
http://hal.inria.fr/hal-00850155
[44]
C. Clausner, A. Antonacopoulos, S. Pletschacher.
ICDAR2017Competition on Recognition of Documents with Complex Layouts–RDCL2017, in: Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017.
[45]
Á. Csapó, G. Wersényi, H. Nagy, T. Stockman.
A survey of assistive technologies and applications for blind users on mobile platforms: a review and foundation for research, in: Journal on Multimodal User Interfaces, 2015, vol. 9, no 4, pp. 275–286.
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[46]
M. Djilas, B. Kolomiets, L. Cadetti, H. Lorach, R. Caplette, S. Ieng, A. Rebsam, J. A. Sahel, R. Benosman, S. Picaud.
Pharmacologically Induced Wave-Like Activity in the Adult Retina, in: ARVO Annual Meeting Abstract, March 2012.
[47]
S. I. Firth, C.-T. Wang, M. B. Feller.
Retinal waves: mechanisms and function in visual system development, in: Cell Calcium, 2005, vol. 37, no 5, pp. 425 - 432, Calcium in the function of the nervous system: New implications. [ DOI : 10.1016/j.ceca.2005.01.010 ]
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Assembly and disassembly of a retinal cholinergic network, in: Visual Neuroscience, 2012, vol. 29, pp. 61–71. [ DOI : 10.1017/S0952523811000216 ]
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B. Froissard.
Assistance visuelle des malvoyants par traitement d'images adaptatif, Université de Saint-Etienne, February 2014.
[50]
B. Froissard, H. Konik, E. Dinet.
Digital content devices and augmented reality for assisting low vision people, in: Visually Impaired: Assistive Technologies, Challenges and Coping Strategies, Nova Science Publishers, December 2015.
https://hal-ujm.archives-ouvertes.fr/ujm-01222251
[51]
E. Ganmor, R. Segev, E. Schneidman.
Sparse low-order interaction network underlies a highly correlated and learnable neural population code, in: PNAS, 2011, vol. 108, no 23, pp. 9679-9684.
[52]
E. Ganmor, R. Segev, E. Schneidman.
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H. Moshtael, T. Aslam, I. Underwood, B. Dhillon.
High Tech Aids Low Vision: A Review of Image Processing for the Visually Impaired, in: Translational vision science & technology (TVST), 2015, vol. 4, no 4.
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[62]
J.-C. Vasquez, A. Palacios, O. Marre, M. J. Berry, B. Cessac.
Gibbs distribution analysis of temporal correlations structure in retina ganglion cells, in: J. Physiol. Paris, May 2012, vol. 106, no 3-4, pp. 120-127.
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Retinal Wave Patterns Are Governed by Mutual Excitation among Starburst Amacrine Cells and Drive the Refinement and Maintenance of Visual Circuits, in: The Journal of Neuroscience, 2016, vol. 36, no 13, pp. 3871-3886.