Juan Carlos Vasquez Betancur

PhD Student-Project NeuroMathComp

2004 route des Lucioles

06902, Sophia-Antipolis

Phone: +33-(0)492387951 Fax:+33 -(0) 492387845

E-mail: Juan-Carlos.Vasquez(at)sophia.inria.fr

Activities

I'm PhD Student in Mathematical Physics and Computer science for spiking neural models and its applications within the NeuroMathComp Project (previously existing as part of Odyssee Project). My principal advisor is Bruno Cessac with Thierry Vieville as co-advisor. My PhD thesis title is: Analyzing the neural code, mathematical and computational properties of spiking neural networks.
I have also interest in chaos on this type of systems and the effects of plasticity mechanisms in order to understand and establish a hierarchy of specialized tasks as coding, learning and vision.

Research Interest

• Spiking Neuronal Networks in Biological Vision

• Dynamical Systems and Statistical Physics

• Computational Neuroscience

• J.C. Vasquez, B. Cessac, and T. Vieville. Entropy-based parametric estimation of spike train statisticsSubmitted to Journal of Computational Neuroscience [link]
• H. Rostro-Gonzalez, B. Cessac, J.C. Vasquez and T. Vieville. Back-engineering in spiking neural networks parameters. Under revision. (2010) [link]
• B. Cessac, H. Rostro, J.C. Vasquez and T. Vieville. How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation. Journal of Statistical Physics, 136, (3), 565-602 (2009). [link]
• J.Vasquez, A. Montes, C. Duque and A.L Morales. Binding Energy for shallow donor impurity in GaAs Quantum Well Wires under Hydrostatic Pressure. Revista Colombiana de Fisica, Vol. 37 No.1 2005.[link]

• J.C. Vasquez, B. Cessac, and T. Vieville. Entropy-based parametric estimation of spike train statistics Statistical Mechanics of Learning and Inference, Stockholm-Mariehanm, May 2010.
• H. Rostro-Gonzalez, B. Cessac, J.C. Vasquez and T. Vieville. Back-engineering in spiking neural networks parameters. Eighteenth Annual Cmputational Neuroscience Meeting CNS 2009. July 18th-23rd 2009, Berlin, Germany. BMC Neuroscience 2009, 10(Suppl.10):P289, BioMed Central.
• J.C. Vasquez, B. Cessac, H. Rostro-Gonzalez and T. Vieville. How Gibbs Distributions may naturally arise from synaptic adaptation mechanisms. Eighteenth Annual Cmputational Neuroscience Meeting CNS 2009. July 18th-23rd 2009, Berlin, Germany. BMC Neuroscience 2009, 10(Suppl.10):P213, BioMed Central.

• J.C. Vasquez, Hassan Nasser, Adrian Palacios, Bruno Cessac, Thierry Vieville and Horacio Rostro-Gonzalez. Parametric estimation of Spike train statistics by Gibbs distributions : an application to bio-inspired and experimetal data. Neurocomp 2010 (Lyon).
• H. Rostro, B. Cessac, J.C. Vasquez, T. Vieville. On deterministic reservoir computing: network complexity and algorithm. Proceedings Neurocomp 2009 (Bordeaux).
• J.C. Vasquez, Bruno Cessac, Horacio Rostro-Gonzalez, Thierry Vieville.Gibbs Distributions and STDP: An case-study on recurrent Neural Networks. Proceedings Neurocomp 2009 (Bordeaux).
• B. Cessac, H. Rostro, J.C. Vasquez, T. Vieville. Statistics of spikes trains, synaptic plasticity and Gibbs distributions. Proceedings Neurocomp 2008 (Marseille).
• B. Cessac, H. Rostro, J.C. Vasquez, T. Vieville. To which extend is the neural code a metric?. Proceedings Neurocomp 2008 (Marseille).

• H. Rostro-Gonzalez, B. Cessac, J.C. Vasquez and T. Vieville. Back-engineering in spiking neural networks parameters. INRIA-NIH Biomedical Computing Workshop, June 3-4th, 2009, Rocquencourt.
• J.C. Vasquez, B. Cessac, H. Rostro-Gonzalez and T. Vieville. How Gibbs Distributions may naturally arise from synaptic adaptation mechanisms. INRIA-NIH Biomedical Computing Workshop, June 3-4th, 2009, Rocquencourt.

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