Nicolas P. Cottaris

This study shows tree shrews can recognize objects despite lacking a fovea, using computational models and behavioral tests to demonstrate transformation-tolerant object recognition.

The paper develops a computational model of midget retinal ganglion cell receptive fields that simulates physiological experiments and explores how their organization affects visual performance.

The paper studies foveolar retinal ganglion cells in Macaca fascicularis using adaptive optics and calcium imaging to analyze their chromatic responses and spatial transfer functions.

This paper develops a Bayesian image reconstruction framework to model initial visual encoding, analyzing information loss and perceptual effects in human vision.

The paper models how fixational eye movements and phototransduction affect spatial contrast sensitivity in a computational observer, bringing its sensitivity closer to human levels.

The paper introduces ISET3d, a software tool that simulates 3D image formation through human optics models, enabling analysis of retinal irradiance and its impact on visual perception.

This study compares human ability to discriminate illumination with a computational model of cone isomerizations, identifying aspects of performance that require further explanation.

This study quantifies how color and material influence object selection using a novel observer model and finds large individual differences in the relative importance of these properties.

The paper develops a computational observer model to simulate human spatial contrast sensitivity, showing how cone mosaic structure, optics, and inference engines affect performance.

The paper investigates how scene variability affects the estimation of object luminance reflectance using supervised statistical learning on simulated cone photoreceptor responses from naturalistic images.

This paper presents a computational framework to simulate visual perception with a retinal prosthesis and assesses how learning might improve inferred visual perception.

The paper investigates how optical aberrations and fixational eye movements affect spatial summation in the human fovea, finding that post-receptoral neural pooling limits summation.

This paper reviews methods and models for understanding how perceived color and material are used in natural tasks, focusing on computational observer models and selection-based approaches.

This study simulates retinal encoding to identify factors limiting Vernier acuity, finding that Poisson absorptions and eye movements are critical.