Enhance Your Learning Speed & Health Using Neuroscience Based Protocols | Dr. Poppy Crum

Enhance Your Learning Speed & Health Using Neuroscience-Based Protocols

Summary

Dr. Poppy Crum, neuroscientist and former Chief Scientist at Dolby Laboratories, discusses how neuroplasticity shapes our brains through technology, environment, and experience. The conversation covers how AI and emerging “hearable” technologies can be leveraged to accelerate learning, build custom training tools, and optimize both waking and sleep states. A central theme is the distinction between using technology to amplify cognitive ability versus using it to replace mental effort.

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Key Takeaways

• Your brain is more plastic than you think — cortical resources are continuously reallocated based on what you practice and what environments you live in.
• Playing 40 hours of an action video game (e.g., Call of Duty) measurably improves contrast sensitivity and probabilistic inference speed — and the effect persists for at least a year.
• Using AI to self-test is one of the most powerful learning strategies — find your weak areas, have AI quiz you on them away from the material, and iterate.
• Germane cognitive load (the mental effort to build schemas) is what drives real learning — LLMs reduce it when used to write for you, undermining long-term retention and generalization.
• Closed-loop feedback environments — where real-time data on your performance is fed back to you — are among the most effective ways to accelerate skill acquisition.
• Technology is not inherently good or bad — the critical question is: are you using it to gain insight and grow cognitively, or to replace a cognitive step and go faster without building capability?
• AI can be used right now to build computer vision apps (no coding required) that provide sophisticated analytics on physical performance (swimming stroke, running gait, etc.).
• Emerging “hearable” technologies will be able to read your physiological and cognitive state and adjust your environment in real time to optimize focus, relaxation, and connection.

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Detailed Notes

Neuroplasticity and Brain Allocation

• Neuroplasticity means the brain continuously reallocates cellular resources based on what you engage with — your environment, tools, and practices all shape your neural architecture.
• The homunculus (Wilder Penfield, 1940s) is a cortical map showing how much brain real estate is devoted to different body parts. Modern examples: thumb areas have expanded due to smartphone use; driving-related areas may be shrinking as autonomous vehicles become common.
• Expertise causes brain regions to become both larger and more specific — a violinist develops greater resolution in the fingertip representation of the somatosensory cortex.
• You can predict a person’s hearing thresholds based on the city they grew up in — urban noise environments shape auditory sensitivity at a foundational level.

Technology, Brain Change, and the Smartphone Generation

• The brain treats technologies as extensions — the statistics of your environment (including digital environments) modify neural circuits through repeated exposure.
• Texting has created new patterns of multi-sensory integration: internal vocalization + visual reading + rapid emotional interpretation, all at high speed.
• A key generational divide exists: people who adopted smartphones after brain development experience them differently than those whose brains developed with smartphones as a baseline social tool.
• Lossy compression analogy: Texting acronyms and shorthand function like perceptual compression algorithms (similar to MP3) — less raw data is transmitted, but the recipient’s brain reconstructs a rich cognitive and emotional experience from context.

Video Games and Cognitive Training

• Self-identified gamers show higher contrast sensitivity — the ability to detect visual edges and differentiation — compared to non-gamers.
• 40 hours of action game play (e.g., Call of Duty) in non-gamers:
  • Improves contrast sensitivity to gamer-level performance
  • Increases the speed of probabilistic (Bayesian) inference — faster real-world situational awareness
  • Effects persist at least one year after play
• Dr. Crum’s Stanford course (Neuroplasticity and Video Gaming) designs closed-loop training environments targeting specific neural circuits for athletes, musicians, and other high-performance individuals.

Closed-Loop Real-Time Feedback for Skill Acquisition

• Closed-loop feedback: sensors measure performance data in real time and deliver immediate feedback (e.g., auditory cues), allowing the brain to build higher-resolution neural representations.
• Example: Soccer players wore calf sensors measuring acceleration and velocity. Real-time sonic cues gave them feedback during training — as a novice, you can’t detect subtle differences in your own acceleration, but gradated auditory feedback builds that differentiation in the brain.
• Key principle: The finer the gradation of feedback, the greater the neural resolution developed. More data → more differentiated neural representation → improved performance.

AI as a Learning Accelerator

• Highly effective use of AI for learning:

  1. Feed AI large volumes of text (papers, books) you have already read
  2. Have AI generate test questions from that material
  3. Answer the questions away from the source material — this engages active recall
  4. Ask AI to identify your weak areas and quiz you specifically on those
  5. Iterate — the system learns where your gaps are

• Why self-testing works: Most of memory is “anti-forgetting.” Retrieving information under effort (especially away from the material) is the most effective way to consolidate it.

• This method preserves germane cognitive load — you are still doing the cognitive work; AI is just structuring the testing environment.

Cognitive Load Theory and the Risk of LLMs

• Three types of cognitive load during learning:

  • Intrinsic load: difficulty of the material itself
  • Extraneous load: how the information is presented; environmental noise or poor organization
  • Germane load: the mental effort used to build schemas and organize information into lasting neural representations — this is the learning

• A MIT study found that using LLMs to write papers significantly reduced germane cognitive load. Students could produce output but had less neural engagement, weaker schema formation, and worse long-term retention and transfer.

• EEG measurements confirmed reduced neural engagement across the brain when LLMs did the writing.

• Higher-competency individuals tended to use LLMs in ways that still preserved germane cognitive load — they used AI to accelerate and test their thinking, not replace it.

The Critical Distinction: Amplify vs. Replace

• Amplify cognitive capability: Using tools to gain new data, insights, or feedback that help you grow — e.g., AI for self-testing, computer vision apps for stroke analysis, GPS as a navigational aid in genuinely novel environments.
• Replace cognitive capability: Using tools to skip mental steps — e.g., LLMs writing your essays, GPS eliminating all spatial navigation, navigation apps removing any need to build a mental map.
  • London taxi drivers historically had measurably more gray matter in the hippocampus due to memorizing complex city maps; with GPS this advantage has been eroded.
• Both uses may be appropriate in context. The danger arises when replacement becomes the default and the underlying capability atrophies.

Building AI-Powered Performance Analytics (No Coding Required)

• Tools like Perplexity, Replit, and similar AI platforms allow non-programmers to build computer vision apps that analyze movement and performance.
• Example: Film a swimmer from above with a mobile phone. Use AI to build an app that analyzes:
  • Stroke consistency and cadence
  • Arm entry position relative to the head
  • Roll angle and water clearance
  • Velocity at different phases of the stroke
• This democratizes elite-level analytics — data previously available only to high-performance programs becomes accessible to anyone.
• The same approach applies to running gait, climbing technique, workplace process improvement, and more.
• Dr. Crum has provided a zero-cost step-by-step protocol (linked in show notes) to build a custom AI tool for improving any skill or health routine — no programming knowledge required.

Sleep Technology and Emerging Environmental AI

• Dynamic sleep environment tools (e.g., temperature-adjusting mattresses) already demonstrate the principle: heating the sleep environment toward the end of the night increases REM sleep; cooling at the beginning increases deep sleep.
• A gap exists in our understanding of waking brain states — unlike sleep (slow-wave, REM), there are no well-defined labels or optimization targets for different types of focused, creative, or social wakefulness.
• Emerging **“hearable”