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Scientists Predict Fish Behavior from Real-Time Brain Monitoring

Researchers could anticipate which way an eight-day-old zebrafish will flick its tail based on brain activity 10 seconds earlier.

Written byAbby Olena, PhD
| 3 min read

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ABOVE: An artistic representation of the two brain states—leading to the correct or incorrect choice of directional movement—observed in larval zebrafish during decision-making
ALIPASHA VAZIRI

Understanding the array of neural signals that occur as an organism makes a decision is a challenge. To tackle it, the authors of a study published last week (January 16) in Cell imaged large swaths of the larval zebrafish brain as the animals decided which way to move their tails to avoid an undesirable situation. Finding patterns in the data, they were then able to use imaging to predict—10 seconds in advance—the timing and direction of the fish’s movement.

“In a lot of other model systems it’s really difficult to actually . . . record something that’s happening throughout the whole brain with a high level of precision,” says Kristen Severi, a biologist at the New Jersey Institute of Technology who was not involved in ...

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Meet the Author

  • abby olena

    As a freelancer for The Scientist, Abby reports on new developments in life science for the website. She has a PhD from Vanderbilt University and got her start in science journalism as the Chicago Tribune’s AAAS Mass Media Fellow in 2013. Following a stint as an intern for The Scientist, Abby was a postdoc in science communication at Duke University, where she developed and taught courses to help scientists share their research. In addition to her work as a science journalist, she leads science writing and communication workshops and co-produces a conversational podcast. She is based in Alabama.  

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