The 'information bottleneck' theory has been suggested as a possible explanation for how human brains learn.
Notes on verification
Multiple sources confirm the information bottleneck theory is discussed as a framework for understanding learning in both deep neural networks and, by extension, human brains, but it remains a hypothesis rather than settled consensus in neuroscience.
Sources
- New Theory Cracks Open the Black Box of Deep Neural Networks (wired.com)
- https://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/ (quantamagazine.org)
- https://elifesciences.org/reviewed-preprints/89369 (elifesciences.org)
- https://www.techopedia.com/why-is-the-information-bottleneck-an-important-theory-in-deep-learning/7/33056 (techopedia.com)