3 papers
stat.ME2024
A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data
Zhengxin Wang, Daniel B. Rowe, Xinyi Li +1
Functional magnetic resonance imaging (fMRI) plays a crucial role in neuroimaging, enabling the exploration of brain activity through complex-valued signals. These signals, compose…
stat.ME2023
Efficient Fully Bayesian Approach to Brain Activity Mapping with Complex-Valued fMRI Data
Zhengxin Wang, Daniel B. Rowe, Xinyi Li +1
Functional magnetic resonance imaging (fMRI) enables indirect detection of brain activity changes via the blood-oxygen-level-dependent (BOLD) signal. Conventional analysis methods…
stat.ML2023
Pruning a neural network using Bayesian inference
Sunil Mathew, Daniel B. Rowe
Neural network pruning is a highly effective technique aimed at reducing the computational and memory demands of large neural networks. In this research paper, we present a novel a…