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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/221868
Preprocessing and decoding neural traces of serial biases in working memory from intracranial electrophysiological recordings in humans
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This thesis would not have been possible without the support of many people. I am deeply grateful
to Albert Compte for giving me the opportunity to be a part of this research and for his mentorship
and encouragement, and to Daniel Pacheco, whose help in iEEG cleaning has brought us to where
we are now.
Additionally, I wanted to express my gratitude to the Hospital Clinic and its Unit of Epilepsy, who
allowed us to work closely with them and collect data. Most of all, I am deeply thankful to
the patients who collaborated and made this research possible.
I am also especially grateful to Dr. Roldán, whose assistance in providing patient information (MRI
sequences, CT scans, and surgical planning details) was fundamental to this study.
Furthermore, I would like to thank my professors, whose guidance and knowledge have shaped
my academic journey, and my family and friends, who have been my source of support and
encouragement throughout this process. Their patience, belief in me, and motivation have been of
much help in completing this thesis.
Finally, I would like to express my deepest gratitude to Alexis Pérez, whose mentorship, guidance,
and support have been invaluable throughout this research. His patience, expertise, and
willingness to help at every step of the analysis have made a significant impact on this work. I am
truly grateful for his dedication and for everything I have learned from him during this journey.
Description
Treballs Finals de Grau d'Enginyeria Biomèdica. Facultat de Medicina i Ciències de la Salut. Universitat de Barcelona. Curs: 2024-2025. Directors: Albert Compte, Alexis Pérez
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HURTADO MORELL, Alberto. Preprocessing and decoding neural traces of serial biases in working memory from intracranial electrophysiological recordings in humans. [consulted: 14 of May of 2026]. Available at: https://hdl.handle.net/2445/221868