A new study published in Nature Neuroscience on May 15, 2026, has challenged a long-standing dogma in neuroscience: that specific neurons consistently respond to the same stimuli. Researchers at the University of California, Berkeley, found that the brain's 'code' for representing information is not fixed but changes over time, even when the same stimulus is presented repeatedly.
Lead author Dr. Emily Chen stated, 'We observed that the firing patterns of individual neurons in the visual cortex of mice shifted over days and weeks, even when the mice were shown identical images. This suggests the brain's representation of the world is dynamic, not static.' The study used two-photon calcium imaging to track the activity of over 10,000 neurons in the mouse visual cortex over a period of 30 days.
This finding contradicts the traditional view that certain neurons are dedicated to specific features, such as edges or colors. Instead, the brain appears to use a constantly evolving ensemble of neurons to encode information. 'It's like the brain is rewriting its own codebook,' commented Dr. James Park, a neuroscientist at MIT not involved in the study. 'This could have profound implications for understanding learning, memory, and neurological disorders.'
The researchers caution that the study was conducted in mice and that further research is needed to confirm whether similar dynamics occur in the human brain. However, the findings open new avenues for exploring how the brain maintains stable perception and memory despite this neural flux.
