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Related Experiment Video

Updated: Feb 26, 2026

Training Synesthetic Letter-color Associations by Reading in Color

Training Synesthetic Letter-color Associations by Reading in Color

Published on: February 20, 2014

How language modulates color perception in a brain-constrained deep neural network.

Rosario Tomasello^1,2, Kai Shaman^1,3, Fynn R Dobler^1,4

¹Brain Language Laboratory, Department of Philosophy and Humanities, WE4 Freie Universität Berlin, 14195 Berlin, Germany.

|February 25, 2026

Summary

This summary is machine-generated.

Language shapes perception. A neural network model shows that distinct color terms in Russian enhance blue shade discrimination compared to English, demonstrating how language modulates cognition.

Keywords:

Health sciences Neuroscience Systems and Computational Biology

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Area of Science:

Cognitive Neuroscience
Linguistics
Computational Neuroscience

Background:

The linguistic relativity hypothesis posits that language influences perception.
Color perception studies show differences across languages, e.g., Russian speakers' enhanced discrimination of blue shades ('goluboj'/'sinij') vs. English speakers ('blue').

Purpose of the Study:

To neuromechanistically explain how language modulates color perception using a brain-constrained neural network.
To investigate the neural basis of enhanced color discrimination in Russian speakers compared to English speakers.

Main Methods:

Developed a brain-constrained neural network simulating frontotemporal-occipital cortices.
Utilized representational similarity analysis to compare neural activity patterns.
Modeled virtual English and Russian speakers to simulate language-specific effects on color representation.

Main Results:

The model showed similar neural activity for different blue shades labeled identically in English speakers.
Distinct neural activations were observed for differently labeled blue shades in virtual Russian speakers.
Microstructural neural changes, including shifts in neuron encoding, underpinned these language-dependent representational differences.

Conclusions:

Language learning modulates functionally distinct color representations, impacting perceptual discrimination.
The findings support the linguistic relativity hypothesis by providing a neurocomputational mechanism for language's influence on perception.
The model successfully reproduced neurophysiological evidence, validating its approach to bridging linguistic, cognitive, and neuroscientific perspectives.