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Introduction

Welcome to the BLIlluminationDiscriminationCalcs wiki!

This goal of this project is implement a computational observer model for psychophysical illumination discrimination experiments being conducted collaboratively between the Hurlbert and Brainard labs. The project builds on the Image System Engineering Tools for Biology (ISETBIO).

Documentation

• First Order Model. This calculation predicts performance in the psychophysical experiment for a computational observer located at the level of the cone isomerizations. The first order model refers to the classification of cone isomerizations made by a static mosaic, without any type of eye movements. This repository contains code that refers to a second order model. These files are under development and will implement classification using mosaics with eye movement as well as cone photocurrent responses.

• Classification Tutorials. This project involves using machine classification techniques to model human performance. As part of trying to make sure we know what we are doing, we wrote some simple Matlab tutorials that illustrate the behavior of classification techniques as a function of stimulus and noise properties, and in particular as the dimensionality of the stimulus space increases. These are described in this section of the wiki.

Etc

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