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http://hdl.handle.net/2445/213463
Title: | Predicting human perceptual decisions from neural activity |
Author: | Ji, Junjie |
Director/Tutor: | Pérez-Bellido, Alexis Cos Aguilera, Ignasi |
Keywords: | Electroencefalografia Anàlisi de sèries temporals Aprenentatge automàtic Treballs de fi de màster Electroencephalography Time-series analysis Machine learning Master's thesis |
Issue Date: | 3-Sep-2023 |
Abstract: | The human brain, with its intricate network of neurons and complex dynamics, presents a fascinating subject of study. In the present work we aim to investigate how humans integrate perceptual evidence in time to make decisions. To accomplish this, we conducted electroencephalogram procedures on 26 participants at the Mundet Campus of the Universitat de Barcelona in 2022. The data collection process included rigorous preprocessing steps to ensure data quality, followed by data segmentation and dataset creation for subsequent analyses. From this data, we will employ time series analyses and machine learning models to gain deeper insights into the neural processes associated with the integration of perceptual evidence and decision-making. |
Note: | Treballs finals del Màster de Fonaments de Ciència de Dades, Facultat de matemàtiques, Universitat de Barcelona. Curs: 2022-2023. Tutor: Alexis Pérez-Bellido i Ignasi Cos Aguilera |
URI: | http://hdl.handle.net/2445/213463 |
Appears in Collections: | Màster Oficial - Fonaments de la Ciència de Dades Programari - Treballs de l'alumnat |
Files in This Item:
File | Description | Size | Format | |
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tfm_ji_junjie .pdf | Memòria | 2.38 MB | Adobe PDF | View/Open |
master-thesis-main.zip | codi font | 47.61 MB | zip | View/Open |
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