Though we’re shaped by our understanding of the past, much of what our minds choose to recall is beyond our control. As the technology reached a level, researchers tried to detect patterns and learn about key processes in the brain. Now, they have worked on how they can use AI techniques to boost memory.
In a recent paper published by Michael J. Kahana and fellow researchers, they have investigated methods to improve memory. A closed-loop system was used by researchers to monitor and decode neural activity from brain recordings. It was concluded after a series of experiments targeted stimulation could be applied to lateral temporal cortex and rescue periods of poor memory encoding.
According to the researchers, it is possible to improve memory and later recall by targeting the lateral temporal cortex. Humans remember or forget information depending on neural events that happen during encoding. The differences in individual’s neural activity can be studied and makes it easy to build models that modulate neural activity when there is a high chance that the brain won’t be able to encode successfully. This overall improves the performance by rescuing network activity.
The results of these experiments proved that subjects’ ability to recall words improved by an average of 15 percent. This is possible only with the power of machine learning algorithms that can not only learn to play games but help us decipher memory functions in the brain.