Part 4/11:
Studying the complex activities of the human brain is no small feat. Traditional techniques like EEGs and MRIs can gather data about brain activity but fall short when it comes to analyzing the sheer volume of information generated. This is where recent advancements in AI come into play.
In their groundbreaking study, scientists utilized autoencoders, a type of AI model adept at identifying patterns in complex datasets. By applying this technology to the brain's chaotic signals, researchers uncovered meaningful patterns that highlight the significance of LFPs. They demonstrated that these signals are not random but rather crucial for the brain’s capacity to anticipate possible future events.