Alicia Garrido Peña

PhD (2024) researcher in the Biological Neurocomputation Group and Assistant Teacher in Computer Engineering department in Universidad Autónoma de Madrid. I hold a degree in Computer Engineering from UGR and have completed master's degrees in Computer Engineering and R&D in ICTs from UAM.

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The research during my thesis followed a hybrid approach, conducting electrophysiological recordings in invertebrates (Lymnaea stagnalis snails), simulating conductance-based computational neuronal and small circuit models, and designing closed-loop protocols for real-time activity-dependent stimulation. The focus of my thesis has been the use of these techniques to study temporal pattern in the sequential activity of Central Pattern Generators (CPGs) and also explore the application of near-infrared laser stimulation -a novel non-invasive neurostimulation technique- for neuromodulation.

I am currently continuing that work and also exploring new paths such as the model of complex networks for cognitive neuroscience and the neurological problems caused by the use of smartphones.

My other interests include computer science, artificial intelligence, open and inclusive science, and free software.

Main Publications

1. Garrido-Peña, A., Sanchez-Martin, P., Reyes-Sanchez, M., Levi, R., Rodriguez, F. B., Castilla, J., Tornero, J., & Varona, P. (2024). Modulation of neuronal dynamics by sustained and activity-dependent continuous-wave near-infrared laser stimulation Publisher: SPIE. Neurophotonics, 11(2), 024308. https://doi.org/10.1117/1.NPh.11.2. 024308
2. Garrido-Peña, A., Elices, I., & Varona, P. (2021). Characterization of interval variability in the sequential activity of a central pattern generator model. Neurocomputing, 461, 667–678. https://doi.org/10.1016/j.neucom.2020.08.093
3. Ellison, L., Raiser, G., Garrido-Peña, A., Kemenes, G., & Nowotny, T. (2024). SSSort 2.0: A semi-automated spike detection and sorting system for single sensillum recordings. Journal of Neuroscience Methods, 110351. https://doi.org/10.1016/j.jneumeth.2024.110351

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