Predicting human perceptual decisions from neural activity

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.