ePoster · Brain Imaging
Predicting Math and Story-Related Auditory Tasks Completed in fMRI using a Logistic Regression Machine Learning Model
Nasrin Bastani, Mary Bassey, Sandhya Kannan · Neuromatch 5
Wed, Sep 28, 2022
Generalized linear models (GLMs) are a gold-standard in computational neuroscience, allowing for the statistical investigation of neural activity when a population of neurons is exposed to stimuli (Gerwinn, 2010 et al.). Logistic regression models are one of such GLMs that allow for the prediction of two possible outcomes (i.e. binary dependent variables) based on predictor variables (i.e. the neural activity). One of such neural activity of interest is the one produced during language-related tasks in a study done by the Human Connectome Project (Binder et. al, 2020). In this study, the subje