A central goal of research on linguistic vs. non-linguistic cognition is to determine not only whether language shapes perception, but how. In this talk, I introduce the Enhanced Neuronal Distinction (END) theory, a neurobiological framework developed in my dissertation, which explains how verbal labels reorganize perceptual circuits through Hebbian and spike-timing–dependent plasticity. END proposes that when words repeatedly co-occur with sensory inputs, phonological circuits are recruited into emerging perceptual assemblies, reducing representational overlap between otherwise confusable stimuli. This results in sharper, more distinct neural patterns—and, critically, in new perceptual discriminations that were previously impossible.

I present converging evidence from behavioral, fMRI, and cross-modal studies showing that novel verbal labels, but not structurally matched nonverbal cues (e.g., musical tones), induce measurable improvements in fine-grained tactile discrimination. These changes are accompanied by increased functional coupling between auditory–phonological and somatosensory cortices, consistent with the END mechanism. The findings support the Language–Perception Causality (LaPeC) hypothesis, which predicts that linguistic input can causally alter perceptual processing rather than merely bias categorization or response strategies.

The END framework clarifies why language uniquely succeeds where other symbolic systems fail: phonological representations possess the combinatorial specificity needed to form distinct, modality-spanning cell assemblies. I conclude by situating END within contemporary debates on linguistic relativity, arguing that language functions not as a passive label system but as a neurobiological force that reorganizes perceptual architecture itself.