By KiddieDaily Editors · Jun 29, 2026 · 2 min read · Ages 8–10 · 1 source

Scientists Translated Brain Signals Into Movies With Surprising Accuracy

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Mouse brain activity was used to recreate 10-second videos, offering a new way to study how vision is represented in the brain.

Scientists led by University College London (UCL) have reconstructed videos using only brain activity recorded from mice, allowing them to recreate what the animals were seeing. The findings, published in eLife, could help researchers better understand how the brain handles visual information and may offer new ways to study how different species experience the world around them. In recent years, scientists have become increasingly interested in how the human brain makes sense of signals from the eyes.

Researchers have shown images and movies to people in fMRI scanners and have tried to decode visual information in the brain down to the pixel level. The new work follows that same broad goal, but it uses single-cell recordings in mice instead. This approach can provide a more detailed view of how the brain represents visual scenes.

Using activity from the visual cortex alone, the team was able to produce high-quality reconstructions of videos the mice had watched. Joel Bauer (Sainsbury Wellcome Centre at UCL) said: “We wanted to have a better way of investigating how the brain interprets what we see. The current methods of understanding what specific groups of neurons are representing are not very generalizable to situations that haven’t been specifically tested for.

And so, we wanted to develop a method that can capture what is being represented in the brain and compare that to reality.” The method could help scientists examine the gaps between what is actually shown and how the brain represents it. Those differences may reveal how particular visual cues influence neural representations. Dr Bauer and colleagues used a dynamic neural encoding model that had been developed by another team for the 2023 Sensorium Competition.

The model predicts the activity of individual neurons (brain cells) based on movies shown to mice, while also taking into account the animal’s own movements and pupil diameter. Working with the same dataset, the UCL team improved the model by comparing two things: the predicted neuron activity if a mouse had seen a blank screen, and the actual activity of the neurons (measured using a microscopic imaging technique that detects which individual brain cells are firing based on localized boosts in calcium levels). This allowed the scientists to begin with a blank movie and gradually adjust its pixels through an algorithm until the output video closely matched the one shown to the mouse.

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