Infraneuroscience

A meta-framework examining the infrastructure underlying neuroscience itself—the foundational systems, structures, and conditions that make neuroscientific research possible and shape what neuroscience becomes. Infraneuroscience asks what must be in place for neuroscience to exist: technological infrastructure (MRI machines, electrophysiology rigs, microscopy systems), computational tools (data analysis software, modeling platforms, statistical methods), conceptual frameworks (models of brain function, theories of neural computation), institutional arrangements (research centers, funding agencies, journals), training systems (graduate programs, postdoctoral positions, laboratory apprenticeships), and cultural contexts (assumptions about mind-brain relationships, reductionism, what counts as explanation). It also examines how this infrastructure shapes neuroscientific knowledge—how the limits of imaging technology determine what can be seen, how computational tools shape what can be analyzed, how funding priorities direct research attention. Infraneuroscience reveals that neuroscience is never just the study of brain—it's always neuroscience built on infrastructure, and understanding neuroscience requires understanding the systems that make it possible.

Example: "Her infraneuroscience analysis showed how fMRI research doesn't just measure brain activity—it constructs it through complex infrastructure: magnetic fields, statistical assumptions, color-coding choices, interpretive frameworks. The brain images are real, but they're also built."

by Dumu The Void March 16, 2026