Publications

Journal articles

  • Palacios A.G, Escobar M.J., Céspedes E. (2017). Missing colors: an enactivist approach to perception. Constructivist Foundations, Volume 13, Number 1, pp 117-125 (link)

  • Palacios A.G, Escobar M.J., Céspedes E. (2017). Authors' Response: Is a Weak Notion of Representation not Compatible with a Contextualist and Enactivist Account of Perception?. Constructivist Foundations, Volume 13, Number 1, pp 135-140 (link)

  • Herzog R., Escobar M.J., Palacios A.G. and Cessac, B. (2017) Dimensionality Reduction on Maximum Entropy Models on Spiking Networks. Plos Computational Biology. Submitted

  • Benzi M., Escobar M.J., Kornprobst P. (2017). A bio-inspired synergistic Virtual Retina model for tone mapping. Inria Research Report 9033, February 2017. Submitted to CVIU. (webpage)

  • Ravello C., Escobar M.J., Palacios A.G., Perrinet L. (2016). Differential response of the retinal neural code with respect to the sparseness of natural images. arXiv:1611.06834 (link).

  • Palacios-Munoz A., Escobar M.J., Vielma A., Araya J., Astudillo A., Garcia I., Valdivia G., Hurtado J., Schmachtenberg O., Martinez A.D. and Palacios A.G. (2014). Role of Connexin Channels in the Retinal Light Response of a Diurnal Rodent. Front. Cell. Neurosci. 8:249 (link).
    DOI: 10.3389/fncel.2014.00249

  • Escobar M.J., Palacios A.G. (2013). Beyond the retina neural coding: On Models and Neural Rehabilitation. Journal of Physiology-Paris, Volume 107, Issue 5, Pages 335-337 (link).
    DOI: 10.1016/j.jphysparis.2013.08.002

  • Escobar M.J., Pezo D. and Orio P. (2013). Mathematical Analysis and Modeling of Motion Direction Selectivity in the Retina. Journal of Physiology-Paris, Volume 107, Issue 5, Pages 349-359(link).
    DOI: 10.1016/j.jphysparis.2013.08.003

  • Escobar M.J. and Kornprobst P. (2012). Action Recognition via Bio-Inspired Features: The Richness of Center-Surround Interactions. Computer Vision and Image Understanding 116, pages 593-605.
    DOI: http://dx.doi.org/10.1016/j.bbr.2011.03.031 (link)

  • Escobar M.J., Masson G.S., Vieville T. and Kornprobst P. (2009). Action Recognition Using a Bio-Inspired Feedforward Spiking Network. International Journal of Computer Vision, Volume 82, Number 3, pages 284-301 (link).

Conferences

  • Silva O., Sigel P. and Escobar M.J. (2017). Time Delays in a HyperNEAT Network to Improve Gait Learning for Legged Robots. 30th International Joint Conference in Neural Networks (IJCNN2017), Anchorage-Alaska, USA.
    (PDF, videos: HyperNEAT, Tau-HyperNEAT)
  • Herzog R., Escobar M.J., Palacios A.G. and Cessac B. (2016) Dimensionality Reduction in spatio-temporal MaxEnt models and analysis of Retinal Ganglion Cell Spiking Activity in experiments. Bernstein Conference 2016, Berlin, Germany.
  • Nettle C. Leblois A. and Escobar M.J. (2016). Tonic Dopamine Effects in a Bio-Inspired Robot Controller Enhance Expected Lifetime. 6th Joint IEEE International Conference in Developmental Learning and Epigenetic Robotics, Cergy-Pontoise, Paris.
  • Nettle C. Leblois A. and Escobar M.J. (2016). Improving Surviving: Tonic Dopamine Control Improves Bio-Inspired Robot Controller. Proceedings of the 38th International Symposium of the GRSNC, "The Neuroscience of Decision Making", Montreal, Canada.
  • Ravello C., Olivares F., Herzog R., Perrinet L., Escobar M.J., Palacios A.G. (2015) Spatiotemporal tuning of retinal ganglion cells dependent on the context of signal presentation. European Retina Meeting, Bringhton, UK.
  • Otero M., Sepulveda C., Palacios A.G., Escobar M.J. (2015) Motion Direction Selectivity in the O. Degu Retina. Bernstein Conference 2015, Heidelberg, Germany.
  • Ravello C., Herzog R., Cessac B., Escobar M.J., Palacios A. (2015) Spectral dimension reduction on parametric models for spike train statistics. 12 Colloque Societé Francaise de Neurosciences, 19-22 May, Montpellier, France.
  • Herzog R., Araya J., Pizarro M., Cessac B., Ravello C., Escobar M.J., Palacios A.G. From habitat to retina: Neural population coding using natural movies. Bernstein Conference 2014. Workshop. Characterizing Natural Scenes: Retinal Coding and Statistical Theory.
  • Palacios-Munoz A., Vielma A., Araya J., Astudillo A., Valdivia G., Hurtado J., Schmachtenberg O., Martinez A.D., Escobar M.J., Palacios A.G. Role of connexin channels in retinal synaptic transmission in a diurnal rodent. Annual meeting of SFN, Washington, November 2014.
  • Rubilar F., Escobar M.J., Arredondo T. (2014) Bio-Inspired Architecture for a Reactive-Deliberative Robot Controller. IEEE International Joint Conference in Neural Network, Beijing, China (link).
    DOI:10.1109/IJCNN.2014.6889813
  • Escobar M.J. Toledo P., Masson G.S. and Kornprobst P. (2013). MT motion integration can be explained by the spatiotemporal frequency content of V1 surround suppression. Vision Sciences Society Annual Meeting. Journal of Vision, vol. 13, no. 9 (poster, link)
    DOI: 10.1167/13.9.362
  • Escobar M.J., Toledo P., Masson G.S. and Kornprobst P. (2011). Can V1 surround suppression mechanism explain MT motion integration? 15th International Conference on Cognitive and Neural Systems (ICCNS), Boston, USA.
  • Escobar M.J., Masson G.S. and Kornprobst P. (2011). How MT neurons get influenced by V1 surround suppression?. Perception 40 ECVP Abstract Supplement, page 76. (poster, link)
  • Escobar M.J., Kornprobst P. (2008). Action Recognition with a Bio-Inspired Feedforward Motion Processing Model:The Richness of Center-Surround Interactions. Computer Vision - ECCV, Lecture Notes in Computer Science, pages 186-199 (link)
  • Escobar M.J., Masson G.S. and Kornprobst P. (2008). A Simple Mechanism to Reproduce the Neural Solution of the Aperture Problem in monkey Area MT. Neurocomp 2008 (pdf).
  • Escobar M.J., Masson G.S., Kornprobst P. and Vieville T. (2007). Spike to spike model and applications: A biological plausible approach for motion processing. BMC Neuroscience, Volume 8, Number 2, p:150 (link).
    DOI:10.1186/1471-2202-8-S2-P150
  • Escobar M.J., Masson G.S., Kornprobst P. and Vieville T. (2007). Spiking MT model: Dynamics and motion patterns Perception, 36, 89-89.
  • Escobar M.J., Kornprobst P., Whorer, A. and Vieville T. (2006). Can we recognise motion from spike train analysis? Perception, 35, 55-55.
  • Escobar M.J., Wohrer A., Kornprobst P. and Viéville T. (2006). Biological Motion Recognition Using a MT-like Model. Neurocomp 2006 (pdf).
  • Escobar M.J. and Ruiz-del-Solar J. (2002). Biologically-based Face Recognition using Gabor Filters and Log-Polar Images. Proceedings of IJCNN 2002 (pdf)

PhD Thesis

  • Escobar M.J. (2009). Bio-Inspired Models for Motion Estimation and Analysis: Human action recognition and motion integration. Ph.D. Thesis, Université de Nice-Sophia Antipolis, France. (pdf)

Book Chapters

  • Escobar M.J., Ruiz-del-Solar J. and Rodriguez J. (2002). Face Recognition Using Multi Log Polar Images and Gabor Filters. Advances in Soft Computing - Engineering, Design and Manufacturing, J. Benitez and F. Hoffmann (Eds.), Springer Engineering Series, 2003. ISBN:1852337559 (pdf)

Technical Reports

  • Teftefi E., Escobar M.J., Astudillo A., Carvajal C., Cessac B.,Palacios A., Viéville T. and Alexandre F. (2013). Modeling non-standard retinal in/out function using computer vision variational methods. Research Report RR-8217, INRIA (link, pdf).
  • Escobar M.J., Masson G.S., Kornprobst P. and Vieville T. (2008). Rate Versus Synchrony Code for Human Action Recognition. Research Report RR-6669, INRIA (pdf).
  • Escobar M.J., Masson G.S., Kornprobst P. and Vieville T. (2007). Spike to spike model and applications: A biological plausible approach for motion processing. Research Report RR-6280, INRIA (pdf).