Miguel P. Eckstein

This study investigates how central and peripheral vision loss affect scene understanding and eye movements using gaze-contingent simulations, finding that peripheral loss more severely impairs scene semantics while central loss disrupts oculomotor behavior.

The paper analyzes CNNs to uncover emergent mechanisms of covert attention, identifying new neuron types and computational principles that mirror neurophysiological findings.

This paper introduces a computational virtual patient pipeline to predict human perceptual behavior with retinal prostheses, finding that preserving natural-image representations better reproduces human perception than adapting to phosphene-specific features.

The paper shows how the brain uses visual periphery information to predict gaze shifts and dynamically adjust eye movements during social attention.

The paper shows that EEG activity during visual search increases when targets appear in contextually appropriate locations in real scenes, and this neural response correlates with behavioral decisions.