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A Decoder That Uses Brain Scans To Know What You Mean - Credit: NPR

A Decoder That Uses Brain Scans To Know What You Mean

Scientists have long sought to understand how the brain works and what it means when we think, feel, or communicate. Now, a new study has taken us one step closer to understanding this complex organ by using brain scans to decode our thoughts.
The research team at Carnegie Mellon University used functional magnetic resonance imaging (fMRI) scans of people’s brains while they were speaking in order to create an algorithm that could accurately predict what words they would say next. The results showed that the algorithm was able to correctly guess which word a person was about to say up to 80% of the time.
This is an exciting development for scientists as it provides them with a better understanding of how language is processed in the brain and can help them develop more accurate models for predicting speech patterns. It also opens up possibilities for further research into other areas such as mental health diagnosis and treatment, as well as artificial intelligence applications like natural language processing (NLP).
In addition, this technology could be used in everyday life situations such as helping people with communication disorders or providing assistance for those who are unable to speak due to physical disabilities or medical conditions. This type of technology could even be applied in virtual reality settings where users can interact with computer-generated characters through their own thoughts rather than spoken words.
Overall, this breakthrough demonstrates just how powerful fMRI scans can be when it comes to decoding human thought processes and unlocking new insights into our minds and behavior. While there is still much work left ahead before these findings become widely applicable outside of laboratory settings, this study marks an important milestone on our journey towards greater understanding of ourselves and others around us.
|A Decoder That Uses Brain Scans To Know What You Mean|Science|NPR

Original source article rewritten by our AI: NPR

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