Individuals unconsciously perceive their environment even before birth. And babies as young as three months can already recognize individual words in streams of syllables. This so-called static learning in infancy shapes us for life.
So far, research has only been done on the changes that occur in the brain after a static learning process. But the crucial question is where the learning process takes place in the first place and how the brain decodes these basic units that make up language and visual processing. To get to the bottom of this phenomenon, we collected, analyzed and evaluated data over five years using intracranial recordings. Our study participants were exposed to auditory and visual stimuli presented in strings of syllables and fractal pattern sequences. What they didn’t know : These data streams concealed basic units of words and image pairs previously unknown to them.
Using neural frequency tagging, we can identify the areas in the brain that responded to these hidden basic units. We also investigated how different aspects of the data streams are encoded. As a result, some areas of the brain encode only the statistical properties of the data streams or track the position of individual elements within the basic units. Other areas of the brain, such as the hippocampus, encode the basic units as a whole.
The results indicate that several computational systems exist in parallel. By decoding this computational framework and precisely locating the learning processes in the brain, the scientists were able to close a significant gap in the research surrounding statistical learning.