The spatiotemporal hemodynamic response function for depth-dependent functional imaging of human cortex. - Alexander M. Puckett; Kevin M. Aquino; Peter A. Robinson; Michael Breakspear; Mark M. Schira (NeuroImage, 2016)

Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRI. - Alexander M. Puckett; Saskia Bollmann; Markus Barth; Ross Cunnington (NeuroImage, 2017)

Serial correlations in single-subject fMRI with sub-second TR. - Saskia Bollmann; Alexander M. Puckett; Ross Cunnington; Markus Barth (NeuroImage, 2018)

Using multi-echo simultaneous multi-slice (SMS) EPI to improve functional MRI of the subcortical nuclei of the basal ganglia at ultra-high field (7T). - Alexander M. Puckett; Saskia Bollmann; Benedikt A. Poser; Jake R. Palmer; Markus Barth; Ross Cunnington (NeuroImage, 2018)

DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning. - Fernanda L. Ribeiro; Steffen Bollmann; Alexander M. Puckett (CoRR, 2020)

Bayesian population receptive field modeling in human somatosensory cortex. - Alexander M. Puckett; Saskia Bollmann; Keerat Junday; Markus Barth; Ross Cunnington (NeuroImage, 2020)

Manipulating the structure of natural scenes using wavelets to study the functional architecture of perceptual hierarchies in the brain. - Alexander M. Puckett; Mark M. Schira; Zoey J. Isherwood; Jonathan D. Victor; James A. Roberts 002; Michael Breakspear (NeuroImage, 2020)

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning. - Fernanda L. Ribeiro; Steffen Bollmann; Alexander M. Puckett (NeuroImage, 2021)

An explainability framework for cortical surface-based deep learning. - Fernanda L. Ribeiro; Steffen Bollmann; Ross Cunnington; Alexander M. Puckett (CoRR, 2022)