This paper, published in Neuroscience and Biobehavioral Reviews (2026), proposes music as a formal scientific metaphor for understanding the mind and brain, arguing it can guide theory-building and experimental design in cognitive neuroscience.

Key Facts

1. Scientific metaphors go beyond simple analogies — they structure entire research programs by defining what should be measured, what counts as explanation, and what predictions are worth testing, as seen historically with the “mind as computer” metaphor.
2. Unlike static metaphors (machines, computers, libraries), music emphasizes continuous adaptation, temporal richness, context-dependence, and cultural embeddedness, making it better suited to capture the dynamic nature of brain and cognition.
3. The authors map core musical domains — structure, performance, improvisation, contextuality, polyphony, and noise — onto corresponding brain and cognitive dimensions such as predictive coding, neuroplasticity, multimodal integration, and neural disorders.
4. Neural connectivity and synchronization are likened to an ensemble performance, where coordination, syncopation, and harmonic tension parallel how brain networks integrate and segregate information across multiple scales.
5. Consciousness is compared to a co-composed symphony without a single conductor, where qualia resemble subjective “timbre” and conscious states reflect a dynamic balance of neural integration and functional differentiation.
6. Emotional processing maps onto musical dynamics such as tension and release, with the brain continuously generating predictive models about affective content — much as a listener anticipates harmonic resolution.
7. Brain development and plasticity are framed as iterative composition, with neural circuits shaped by experience over time, while improvisation serves as a metaphor for the brain’s capacity to reorganize after learning or injury.
8. Brain disorders are conceptualized as distortions of dynamic repertoire — epilepsy as runaway neural avalanches, Parkinson’s as rigid over-synchrony, schizophrenia as “cognitive atonality,” and depression as loss of harmonic diversity.
9. The authors propose a roadmap for translating this metaphor into practice, including music-inspired tools for neurotechnology and brain-computer interfaces, transdisciplinary research programs, and clinical music-based interventions — while acknowledging the framework does not replace mechanistic accounts and requires systematic empirical validation.

To the paper