CHEMLA Sandrine

Surname : Sandrine
Phone : 04 91 32 40 27
Fonction : Post-doctorante
Grade : Post-doctorante
Office : R+2


Sandrine Chemla graduated as a microelectronics engineer in 2005. She then followed an interdisciplinary path, starting with a PhD in computational neuroscience in 2010 from the University of Nice Sophia-Antipolis, developing a model of the voltage sensitive dye imaging signal (VSDI), followed by a postdoctoral research using VSDI in various species, from rodents (CCBN, Lethbridge University, Canada) to awakened non-human primates (INT, Université Aix-Marseille, France and CERCO, Université Paul Sabatier, Toulouse, France), with a particular interest in the spatio-temporal dynamics of cortical processing of sensory information.


  • Chemla S. and Chavane F. (2016). Effects of GABA kinetics on cortical population activity: computational studies and physiological confirmations. Journal of Neurophysiology, 115: 2867-2879.

  • Chemla S., Muller L., Reynaud A., Takerkart S., Destexhe A., and Chavane F. (2017). Improving voltage-sensitive dye imaging: with a little help from computational approaches. Neurophotonics, 4: 031215.

  • Chemla S., Reynaud A., di Volo M., Zerlaut Y., Perrinet L., Destexhe A., and Chavane F. (2019). Suppressive Traveling Waves Shape Representations of Illusory Motion in Primary Visual Cortex of Awake Primate. The Journal of Neuroscience, 39: 4282-4298.

  • Zerlaut Y., Chemla S., Chavane F., and Destexhe A. (2017). Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of Computational Neuroscience.
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