A Computational Framework for Modeling the Emergence of Color Vision in the Human Brain
Atsunobu Kotani & Ren Ng
Department of Electrical Engineering and Computer Sciences,
University of California, Berkeley

Two Sentence Summary
This work addresses the long-standing mystery of how the brain constructs color vision with correct dimensionality, purely from optic nerve signals.
We simulate the human visual system to generate biologically realistic optic nerve signals and model cortical learning that exclusively relies on these signals. The results demonstrate emergent color vision with accurate dimensionality, validated across diverse biological conditions and real-world experiments.
Tutorials
To reproduce the results presented in this work, please refer to the Tutorials page. Specifically,
Retina Simulation: how to generate optic nerve signal movies from input stimuli.
Cortex Simulation: how to simulate cortical learning from scratch.