computational-psychology/lightness_models

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Created about 10 years ago
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computational-psychology/lightness_models

computational-psychology

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Implementations of different models of lightness/brightness perception.

stimupy

Build stimuli for vision science, as numpy arrays

hrl

A library for running high resolution luminance experiments for psychophysics in Python.

multyscale

Python implementation(s) of common models of brightness/lightness perception that use multiscale spatial filtering

ecvp22_tutorial_spatiotemporal_signals

Jupyter Notebook

schmittwilken2022_active-edge-model

Code for implementation of active edge model and simulations performed in Schmittwilken & Maertens (2022). Fixational eye movements enable robust edge detection. Journal of Vision.

Jupyter Notebook

mlds

Python wrapper for the MLDS R package. Also includes utilities for designing MLDS experiments and simulating observers

BRENCH

Brightness Estimation in NeuroComputation(al models) and Humans

datapixx

Python wrapper for the DATAPixx cross-platform low-level C programming library

betz2015_noise

Code for Betz, Shapley, Wichmann, Maertens (2015). Noise masking of White's illusion reveals the weakness of of current spatial filtering models of lightness perception. Journal of Vision.

template_experiment

Templates for psychophysical experiments running on HRL