Algorithms can accurately read human thoughts

Using magnetic resonators to study the activities of the brain, scientists can read human thoughts.

Researchers at Carnegie Mellon University in Pennsylvania have developed an algorithm that decodes human thinking by using brain MR imaging, according to Popular Mechanic on June 27. Algorithms help researchers understand how brains work and form complex themes.

The brain can make the thought from simple to extremely complex. Complex thoughts will be divided into small sections of the brain, each corresponding to a facet of thought.

The brain uses an "alphabet" of about 42 elements, in which each element corresponds to a specific concept such as size, color or location. When combined with elements, the brain creates complex thoughts.

Each of the "characters" in the alphabet of the brain is partially managed by the brain. According to this principle, when using magnetic resonance machines to study brain activity, scientists can determine what a person is thinking.

How the brain works. (Graphics: National Geographic).

The new algorithm uses images of magnetic resonance imaging to understand the corresponding thoughts generated in the brain, then predict how a thought in the magnetic resonance imaging will look. Algorithm reached 87% accuracy in the study.

This technology is not used to secretly read human thoughts, but is enough to excite neuroscientists. The study aims to explain how people think, and then solve one of the many mysteries of the human brain.