American scientists develop brain imaging technology: or can interpret human thought

Researchers at Carnegie Mellon University have developed a brain imaging technology that recognizes complex ideas. The technical explanation that complex ideas are formed by various branches of the brain and not based on language, the new evidence provided by the study shows that each person's brain is expressed in the same way and does not change from language to language.

The study was led by Marcel Just, a psychology professor at Carnegie Mellon University. Studies have shown that when dealing with the phrase "The witness shouted during the trial", the brain uses 42 "meaning components" (also called "semantic features"). The "alphabet" that consists of characters, scale, social interactions, and physical activity. Each type of information is processed by a different brain system. The program measures the activity of each brain system to determine what type of problem the subject is thinking about.

美国科学家研发出大脑成像技术:或可解读人类思想

Figure 1: The picture shows the law of brain activation corresponding to the phrase “The witness shouted during the trial”. The above picture shows the prediction results. The figure below shows the actual observation results. The two are quite similar.

美国科学家研发出大脑成像技术:或可解读人类思想

Figure 2: The graph shows the semantic features of the two sentences A and B. The upper row is the prediction result and the lower row is the actual observation result. The brain prediction law predicted by the model has certain similarities with the actual law.

Figure 3: This program measures the activity of each brain system to determine what type of problem the subject is thinking about.

美国科学家研发出大脑成像技术:或可解读人类思想

Figure 4: The figure shows the semantic features of the two sentences C and D. The upper row is the prediction result and the lower row is the actual observation result. The brain prediction law predicted by the model has certain similarities with the actual law.

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