Brain Science with Ginger Campbell, MD: Neuroscience for Everyone BS 167 Stanislas Dehaene explores "How We Learn"
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Feb 14, 2020 
Neuroscientist Stanislas Dehaene discusses how human babies are exceptional learners surpassing artificial intelligence. They explore the science of consciousness, the brain as a Bayesian statistician, and the differences in learning between humans and computers. The importance of studying how babies learn and the four pillars of learning are also discussed. The podcast highlights the ever-evolving nature of science and compares education systems in the US and France.
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Learning as Mental Modeling
- Learning is the construction of a mental model that fits aspects of the external world.
- Our brain hosts numerous rich internal models, enabling a virtual reality generation even during dreams.
Babies Are Born Learners
- Babies combine innate abilities with learning, not nature or nurture alone.
- They have innate domains of knowledge, crucial for further learning and plastic brain development.
Babies as Bayesian Statisticians
- Babies resemble Bayesian statisticians, combining prior knowledge with new evidence.
- They rationally infer optimal models by probing and interpreting the world probabilistically.