Mathematical models derived from AI research helped Hungarian researchers better understand the interactions of human memory systems, the website of the Hanren Hungary Research Network revealed. Researchers from the Hun-Ren Wigner Research Center for Physics and the Max Planck Institute highlight why our surprising experiences are particularly important, contrary to previous theories.
We can't be sure to remember. In fact, we remember that we don't experience it at times. From a memory research perspective, one of the advantages of memory errors is that they occur regularly and allow you to explore the mathematical principles behind them. These principles also promise to help you understand how different optimization processes in memory lead to errors.
In collaboration with GergőOrbán (Hun-Ren Wigner Research Center for Physics), Dávid GergelyNagy and Charley Wu, a collaboration from Tubingen's Max Planck Institute and Eberhard Karls University. Nature review psychology, We propose a machine learning-based approach to understanding the interactions of human memory systems.
How does machine learning relate to this?
Mathematical models derived from AI research not only document errors, but also provide tools to understand their functionality and the learning and information compression principles behind them.
Information theory provides guidance on what is worth remembering: information worth storing resources and things that are easy to forget. In their work, they pointed out that based on information theory, it would not be “valuable” for the brain to remember an experience that was too rare or unusual.
Nevertheless, it is precisely these amazing experiences that leave a deep and rich impression on our memories.
Based on mathematical reasoning, the author concluded that in order to learn well, it is necessary to maintain an astonishing and unusual experience. While these experiences are not entirely surprising, they are so special that they stand out from everyday life, and that's exactly why they help us to better understand how the world works.
In general, preserving our experiences can help us plan more effectively or predict events, but the role of remembering surprising events is primarily important in terms of updating our knowledge. Machine learning not only helps us predict what our memories remember and what they forget, but also provides guidance on how to learn or teach.
Via Hun-ren.hu, Featured Image: Pexels
