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Brain Inspired

BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors

Dec 18, 2024
In this discussion, Rajesh Rao, a distinguished professor at the University of Washington, dives deep into the concept of predictive coding, revealing how our brains predict and adjust to sensory signals. He introduces his latest research on 'Active predictive coding,' expanding on how action and perception interplay in our cortical structures. The conversation also explores groundbreaking brain-computer interfaces, including BrainNet, which connects minds, and the ethical implications of augmenting human cognition through technology.
01:37:22

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Predictive coding illustrates how the brain anticipates sensory input and adjusts its internal model based on prediction errors.
  • The advancement of active predictive coding emphasizes the interconnectedness of perception and motor action in shaping sensory interpretations.

Deep dives

The Brain's Goal and Predictive Coding

One primary goal of the brain is to develop a generative model of the world, allowing it to predict incoming sensory information. This process involves hypothesis generation and matching those hypotheses with sensory inputs, a concept known as predictive coding. When discrepancies arise between predictions and actual sensory data, these prediction errors inform the brain to update its internal model. This dynamic enables the brain to continuously refine its understanding of the environment and improve future predictions.

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