Study Challenges Neuroscience Theory on How Learning Reshapes Brain

Findings suggest learning increases coordination among neurons, not independence.

Published on Mar. 6, 2026

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A new study by researchers at the University of Rochester challenges a long-held assumption in neuroscience that learning improves efficiency by minimizing repetition across neural signals. Instead, the study found that as people learn new skills, sensory neurons in the brain become more coordinated, sharing information rather than acting more independently. The researchers believe this coordination reflects the brain's growing reliance on internal expectations, as feedback from higher-level brain areas shapes how sensory neurons respond.

Why it matters

These findings could provide insights into learning disorders and inspire more flexible, human-like artificial intelligence tools. The results support the idea that the brain isn't a simple conveyor belt, but constantly blends what we see with what we expect to see, creating a richer, more informed picture of the world.

The details

The researchers tracked the activity of small networks of neurons in the visual cortex as subjects learned to distinguish different visual patterns. They found that before learning, neurons mostly worked independently, but as subjects honed their skills, the neurons started to communicate and work together in a more coordinated way, similar to a well-trained sports team. This coordinated effect only appeared when subjects were actively performing a task and making decisions, not when they were passively looking at the same images.

  • The study was published in the journal Science on March 6, 2026.

The players

Shizhao Liu

A graduate student in the labs of Ralf Haefner and Adam Snyder, both faculty members in the Department of Brain and Cognitive Sciences at the University of Rochester.

Ralf Haefner

A faculty member in the Department of Brain and Cognitive Sciences at the University of Rochester and co-author of the study.

Adam Snyder

A faculty member in the Department of Brain and Cognitive Sciences at the University of Rochester and co-author of the study.

University of Rochester

The institution where the study was conducted, including its Del Monte Institute for Neuroscience.

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What they’re saying

“The dominant view in neuroscience has been that learning makes the brain more efficient by pushing neurons to act more independently, so information can be read out more cleanly. Our results support a different idea, that sensory areas of the brain aren't just passively encoding the world. They're actively performing inference by combining what's coming in with what the brain has learned to expect.”

— Shizhao Liu, Graduate student (Mirage News)

“It's a bit like a group of people solving a problem. Instead of everyone working in isolation as efficiently as possible, learning makes them communicate more. That shared information makes each individual better informed and potentially makes the group more flexible and adaptive.”

— Adam Snyder, Faculty member (Mirage News)

“Most current artificial intelligence systems are built on discriminative architectures that map sensory inputs directly to outputs. Our new research suggests that incorporating generative feedback loops-in which internal models shape sensory representations-may lead to systems that learn faster from limited data, are more robust to uncertainty, and adapt more flexibly to changing tasks.”

— Ralf Haefner, Faculty member (Mirage News)

What’s next

The researchers plan to further investigate how the brain's internal expectations shape sensory processing and how this coordination among neurons could be leveraged to improve artificial intelligence systems.

The takeaway

This study challenges a long-standing theory in neuroscience, suggesting that learning does not make the brain more efficient by minimizing repetition across neural signals. Instead, learning increases coordination and shared activity among neurons, allowing the brain to blend incoming sensory information with internal expectations for a richer, more informed perception of the world.