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Treball de fi de grau

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cc-by-nc-nd (c) Alberto Hurtado Morell, 2025
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: 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.

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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. [consulta: 26 de novembre de 2025]. [Disponible a: https://hdl.handle.net/2445/221868]

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