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tfm_ji_junjie .pdf (2.32 MB)
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Document type

Master thesis

Publication date

2023-09-03

Publication license

cc-by-nc-nd (c) Junjie Ji, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/213463

Predicting human perceptual decisions from neural activity

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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.

Description

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

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Electroencefalografia, Anàlisi de sèries temporals, Aprenentatge automàtic, Treballs de fi de màster

Subject (English)

Electroencephalography, Time-series analysis, Machine learning, Master's thesis

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Màster Oficial - Fonaments de la Ciència de Dades
Programari - Treballs de l'alumnat

Citation

JI, Junjie. Predicting human perceptual decisions from neural activity. [consulted: 17 of August of 2026]. Available at: https://hdl.handle.net/2445/213463

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