Geoffrey M. Boynton

The paper models phosphenes elicited by intracortical stimulation in human V1, showing that electrode stimulation can produce varied shapes due to activation of multiple locations.

The paper dissociates bottom-up and top-down contributions in human visual areas V1-V3 using BOLD responses to full-field and central scotoma stimuli.

This paper introduces a virtual patient framework to predict perceptual outcomes of optogenetic therapies by linking opsin sensitivity and kinetics to temporal contrast sensitivity functions.

The paper investigates whether color aids object recognition under blurring and suggests color may have evolutionary benefits in compensating for optical degradation.

This paper introduces a log-bar stimulus to improve the reliability and accuracy of population receptive field estimates in early visual areas, particularly near the fovea.

PySilSub is a Python toolbox for silent substitution in photoreception research, enabling selective stimulation of photoreceptor classes using linear algebra and optimization.

This paper develops a computational model of V1 to predict perceptual outcomes of visual cortical stimulation across multiple studies.

This study measures interocular interactions in amblyopia using non-rivalrous stimuli, finding weaker suppressive effects compared to rivalrous stimuli.

The paper investigates how dividing attention between motion features affects behavior and brain activity, finding better performance with same-direction attention and larger BOLD responses to attended components.

This study investigates dual-task deficits and congruency effects in perception, finding different dependency mechanisms for Gabor detection and word categorization.

This study predicts retinal implant users' phosphenes using a model simulating individual retinal ganglion axon pathways, accurately replicating percept shapes.

The paper discusses the validity of inverted encoding models (IEM) in neural data analysis, arguing that results are not arbitrary when models are clearly specified.

The paper investigates how parallel spatial channels of visual processing converge into a serial bottleneck for word recognition using fMRI.

This study uses a computational model to recommend optimal electrode placement for retinal implants to reduce axonal activation and improve visual perception.

pulse2percept simulates the perceptual experience of retinal prosthesis patients to aid in the development of visual prostheses.

This paper reviews the role of cortical plasticity in visual prosthetics, discussing how biological constraints affect the ability to restore functional vision through retinal implants.