Research Engineer in Neuroscience and Artificial Intelligencer, PhD.

e-mail: sirenia.mondragon (at) icm-institute.org

 

I am a multidisciplinary research engineer, who was initially trained as an engineer in mechatronics and robotics (double degree) with a background in artificial intelligence (AI), and who later turned to neuroscience. I completed my master’s in AI at Sorbonne University and my Ph.D. at the Brain Institute in Paris in Eric Bruguière’s Lab. In my graduate research, I was using optogenetics, electrophysiology and, real-time signal analysis in awake behaving mice to understand the role of striatal parvalbumin interneurons in regulating compulsive behaviors within a closed-loop approach. Along the way, I have had some fun developing some hardware and software tools for scientific experimentation (see the Resources section).

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Publications and patents

Peer-reviewed journals

  • [8] Mondragón-González, S.L., Schreiweis, C. & Burguière, E. (2024). Closed-loop
    recruitment of striatal interneurons prevents compulsions
    Nature Neuroscience (2024)
  • [7] Lamothe, H., Schreiweis, C., Mondragón-González, S.L., Rebbah, S., Lavielle, O.,
    Mallet, L., & Burguière, E. (2023). The Sapap3−/− mouse reconsidered as a comorbid
    model expressing a spectrum of pathological repetitive behaviours.
    Translational Psychiatry, 13(1), 26.
  • [6] Mondragón-González, S. L., & Burguière, E. (2017). Bio-inspired benchmark generator
    for extracellular multi-unit recordings. Scientific reports, 7(1), 43253.
  • [5] Muñiz-Hernández, S., González del Carmen, M., Mondragón, M., Mercier, C.,
    Cesbron, M. F., Mondragón-González, S.L & Mondragón, R. (2011). Contribution of
    the residual body in the spatial organization of Toxoplasma gondii tachyzoites within the parasitophorous vacuole. BioMed Research International, vol 2011.

Patent

  • [4] Mondragón-González, S. L., & Burguière, E. Brevet européen (2022)
    no. 22 305 177.2 Method and device for physiological signal processing.

Book Chapter

  • [3] Mondragón-González, S. L., Burguière, E., & N’diaye, K. (2023). Mobile Devices,
    Connected Objects, and Sensors. Machine Learning for Brain Disorders, 355-388.

Pre-print

  • [2] Mondragón-González, S. L., Schreiweis C, C., & Burguière E, E. (2022). Closed-loop
    recruitment of striatal parvalbumin interneurons prevents the onset of compulsive
    behaviours. bioRxiv, 2022-01.

Doctoral dissertation

  • [1] Mondragón-González, S. L.(2019) Combining a real-time closed-loop system withneuromodulation: and integrative approach to prevent pathodological repetitivebahviours. Sorbonne Université