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Math Explains How Brain Makes Sense of Sounds

Clark School researchers take a new computational approach to understanding brain's function.

2 min read
University of Maryland

The brain has been called the most complicated biological structure on Earth. Electrical engineers and neuroscientists in the University of Maryland’s A. James Clark School of Engineering are working together to understand the brain’s ability to adapt its neural networks to new circumstances.

University of Maryland

They used new signal processing techniques to track how neurons interact between the brain’s frontal cortex and auditory cortex while paying attention to “important” sounds, such as those associated with a reward. These neural networks aid in hearing and decision making, and do not activate for unimportant sounds or background noise.

To identify and understand these networks, the researchers developed advanced algorithms for sorting through large quantities of complicated data. Their new tools, available free of charge online, are helpful in working with many types of large data sets.

University of Maryland

The brain’s ability to connect its functioning in rapid, dynamic interaction is a clue to its sophistication. It is this internal signal processing that helps us complete tasks and attend to the world around us. The results show that the brain’s complex networks can be dynamically reorganized to suit any task. The researchers also discovered that the links between neurons in the brain’s auditory cortex can change even without any evident external stimuli. You can see their interaction in the video below.

“We hope that understanding how these networks should behave under normal function will give us insight on how hearing disorders may be connected to changes in the dynamics of these networks,” says Behtash Babadi, who led the study. The unique collaboration demonstrates the promise and value of neuroengineering, an interdisciplinary fusion suited to advancing the understanding of how the brain functions. The results have been published in the Proceedings of the National Academy of Sciences.

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Are You Ready for Workplace Brain Scanning?

Extracting and using brain data will make workers happier and more productive, backers say

11 min read
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A photo collage showing a man wearing a eeg headset while looking at a computer screen.
Nadia Radic
DarkGray

Get ready: Neurotechnology is coming to the workplace. Neural sensors are now reliable and affordable enough to support commercial pilot projects that extract productivity-enhancing data from workers’ brains. These projects aren’t confined to specialized workplaces; they’re also happening in offices, factories, farms, and airports. The companies and people behind these neurotech devices are certain that they will improve our lives. But there are serious questions about whether work should be organized around certain functions of the brain, rather than the person as a whole.

To be clear, the kind of neurotech that’s currently available is nowhere close to reading minds. Sensors detect electrical activity across different areas of the brain, and the patterns in that activity can be broadly correlated with different feelings or physiological responses, such as stress, focus, or a reaction to external stimuli. These data can be exploited to make workers more efficient—and, proponents of the technology say, to make them happier. Two of the most interesting innovators in this field are the Israel-based startup InnerEye, which aims to give workers superhuman abilities, and Emotiv, a Silicon Valley neurotech company that’s bringing a brain-tracking wearable to office workers, including those working remotely.

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