Saad Idrees

Designing stimuli for non-invasive, cell-type-specific manipulation of retinal ganglion cell activity

The paper introduces a computational framework to design stimuli that selectively manipulate specific retinal ganglion cell types with minimal impact on others.

Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation

This paper develops a deep learning model of the retina with photoreceptor adaptation mechanisms, improving prediction of primate and rat retinal ganglion cell responses to dynamic stimuli.

Suppression without inhibition: How retinal computation contributes to saccadic suppression

The paper identifies three retinal mechanisms underlying saccadic suppression in mice, pigs, and macaques using electrophysiology and modeling, showing suppression arises from temporal filtering and nonlinearities rather than inhibition.

Dependence of perceptual saccadic suppression on peri-saccadic image flow properties and luminance contrast polarity

This study investigates how perceptual saccadic suppression depends on image flow properties and luminance contrast polarity during saccades.

Different contrast encoding in ON and OFF visual pathways

The paper shows that OFF retinal ganglion cells encode absolute light intensity changes, while ON cells encode both absolute and relative changes, revealing asymmetry in contrast representation.

Perceptual saccadic suppression starts in the retina

The paper shows that visual-only mechanisms in the retina account for saccadic suppression, without needing motor-based signals.