Official implementation of a free pupillometry platform called PupilEXT proposed in the article "PupilEXT: flexible open-source platform for high resolution pupillometry in vision research".

Responses of 10,000 neurons to 2,800 natural images

BonVision is an open-source closed-loop visual environment generator developed by the Saleem Lab and Solomon Lab at the UCL Institute of Behavioural Neuroscience in collaboration with NeuroGEARS.

Retinal Video Analysis Suite: a utility for generating reference frames and extracting eye position traces from retinal videos recorded via scanning laser ophthalmoscopes. It also includes a set of tools for classifying eye movements into drifts and (micro)saccades, and extracting detailed information about these eye movements.

Neyman–Pearson Detector (NPD) for saccadic eye movements

This is the code of our Neuron 2018 paper: A switching observer for human perceptual estimation. We used perceptual estimation experiments to probe and model whether/how human subjects use statistical priors to adapt perceptual judgements.

A Deep Learned Model for Generate Mooney Faces from Photos

Simulating human visual system with matlab

The work presented herein describes the development and implementation of novel computer algorithms for quantitative analysis of SD-OCT images of live teleost eyes.

Projects, essays, and reports for the Mind, Brain and Behavior program at JLU Giessen.

Workshop and supplementary material for the VSS 2019 satellite: MacGyver-ing in vision science: interfacing systems that are not supposed to work together

Some tools and notes for vision science noobs like me

VISTASOFT is the main software repository of the VISTA lab at Stanford University.

Module that implements Eyelink graphics routines for Shady

Here are some scientific programing code. quick-sort, Max-Sat, 3-k Partition, k-D tree, search greedy using immperative, objected oriented and structured, funcional and procedural programming language paradgms

Repository for my paper with title "Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons."

This is a curated collection exploring animal vision and perception, compared to human capabilities.

Analyzing 2p in vivo primate V1 population neural response to shapes and natural stimuli

Deep Convolutional Neural Network based on biological principles derived from visual area V4 to solve 3D reconstruction using constrained minimization of MSDA (Minimization of Std Dev of all pairs of angles in 3D percept)