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

Understanding Neuroplasticity and Technology's Role [0:9:2]

• Neuroplasticity allows our nervous systems to change in response to experience.
• Our brains are potentially more plastic than we realize, with technology playing a significant role in shaping them.
• Environments and technologies we engage with daily actively shape our brains through neuroplasticity.
• AI and immersive technologies are actively architecting our brains as we move forward.

The more we create robots, there's neuroplasticity that comes with comes with using robots as humans when we use them in partnerships or as you know tools to accelerate our capabilities.

The Homunculus and Brain Resource Allocation [0:4:50]

• The "homunculus" is a data representation of how many brain cells code sensory information, particularly touch.
• This representation, originating from the 1940s, is still found in textbooks but is outdated as it doesn't reflect modern activities like typing on mobile devices.
• Our brains allocate limited resources (cells) to support flourishing in our environment, and these resources can be reallocated and become more specific with expertise.
• Activities like playing video games or practicing music influence brain plasticity and resource allocation.

You know, this is an image from 1940 that is still in every textbook. And you know, any Stamford student will look at it and they'll immediately say, "Well, the thumb should be bigger because we do this all day long and I've got more sensitivity in my fingers because I'm always typing on my mobile device."

Environmental Influence on Auditory Perception [0:8:23]

• Environmental factors, such as city noise, can influence auditory perception and hearing thresholds.
• Cities have unique "sonic imprints" from vehicles, density, and construction that shape people's hearing and sensitivities.
• The brain adapts to its sonic environment, developing increased sensitivity to certain sounds or becoming desensitized to others.

In part, it can be both, right? Because cities have sonic imprints, types of noise, things that are very, you know, very loud cities, but also what's creating that noise, right? That's often unique.

Absolute Pitch and Sensory Categorization [0:12:06]

• "Absolute pitch" is not about perfect vocal pitch but the ability to identify or reproduce a note without a reference tone.
• The perception of pitch is categorical, meaning different physical frequencies can be perceived as the same note.
• This categorical perception is fundamental to how we process sounds, similar to how we process colors.

There is no such thing as perfect pitch. there's absolute pitch and so think only because the idea of so like that would be a equal 440 hertz right but that's a standard that we use in modern time.

Impact of Texting and Digital Communication on Brain Function [0:16:11]

• The past 15 years have seen unprecedented technology integration, particularly with smartphones and texting.
• Texting involves internalizing voices, rapid back-and-forth communication, and processing nuances like typing indicators ("dot dot dot").
• This integration of writing with thumbs, hearing one's own voice, and interpreting the other person's filtered voice at speed potentially reallocates or enhances brain regions for communication.
• The brain adapts quickly to these new communication methods, building faster interpretations and reaction times.

Are we taking old brain areas and combining them in new ways or is it possible that we're actually changing the way that our brain works fundamentally in order to be able to carry out something as what seems to be nowadays trivial but as uh as basic to everyday life as texting.

Generational Differences in Technology Adoption and Perception [0:20:40]

• A generation that grew up with smartphones has an integrated relationship with the technology, experiencing withdrawal when a phone is unavailable.
• This can lead to fundamentally different neural structures concerning social context, communication, and feelings of safety compared to those who adopted technology later in life.
• The seamless integration of smartphones has changed how individuals perceive connection and the world around them.

When my phone runs out of charge, I feel the life drain out of my body and it is unbearable or nearly unbearable until that phone pops back on.

Data Compression and Rich Communication [0:23:59]

• Content compression algorithms, like those used in MP3s, intelligently remove information to reduce file size while preserving perceptual experience.
• These algorithms can be seen as computational models of the brain, predicting what sounds we would hear and wouldn't hear.
• In communication, shorthand and acronyms (e.g., "LOL") can be seen as "lossy compression" that triggers a rich cognitive experience, conveying significant meaning with minimal data.

The goal of content compression algorithms, it's to translate the entirety of the experience, the entirety of a signal in, you know, with with a lot of the information removed, right? But in intelligent ways.

The Role of Generative AI in Learning and Cognitive Skills [0:50:12]

• AI can be a powerful tool for learning, such as using it to generate tests from large volumes of text to reinforce memory and identify weaknesses.
• Self-testing, especially away from the material, is a highly effective method for memory retention, as memory is largely about "anti-forgetting."
• AI can adapt by learning where an individual is weak or strong in retaining information and can be directed to focus testing on those areas.

So, what I've been doing is is having AI build tests for me and having ask me questions like, you know, uh, what is the the you know, the signal between the pituitary and the adrenals uh that drives the release of cortisol and and what layer of the adrenals does cortisol come from?

AI-Driven Augmentation vs. Replacement of Cognitive Skills [0:53:23]

• Technology, including AI, can be used either to enhance cognitive skills and provide more information or to replace existing cognitive functions.
• Using AI to augment cognition leads to greater effectiveness and insights, while using it to replace skills can lead to a decline in mental capabilities, as seen with GPS navigation reducing the need for mental maps.
• The crucial distinction is whether technology is used to amplify our abilities or to bypass the cognitive effort required for learning and skill development.

Am I using the tool am I using the technology in a way to make me smarter about in a and and let me have more information and make me more effective but also cognitively more effective gain different insights or am I using it to replace replace a cognitive skill I've done before to be faster.

Cognitive Load and Learning with AI [0:57:58]

• Cognitive load theory describes the mental effort required for learning, categorized into intrinsic (difficulty of material), extraneous (presentation of information), and germane (building mental schemas) load.
• Using AI, particularly Large Language Models (LLMs), to write papers can reduce germane cognitive load, thereby hindering the development of mental schemas and deeper learning.
• Individuals with higher competency in a subject tend to use AI in ways that still engage germane cognitive load, accelerating their learning, whereas those new to a domain may rely on AI to bypass cognitive effort.

And that germaine cognitive load that's that's the work right and if you don't have gerine cognitive load you don't have learning really and what they found is basically the germaine cognitive load is what gets impacted most by using LLMs.

Digital Twins and Personalized Environmental Optimization [1:06:15]

• Digital twins are sophisticated representations of systems that integrate data from various sources to provide real-time insights and enable proactive management.
• Examples include smart thermostats that optimize HVAC systems based on behavior and AI-powered mattresses that adjust temperature to enhance sleep stages.
• The goal is to create integrated systems that understand and respond to our dynamic states within our environments, leading to personalized optimization of health and comfort.

And you know, my house should not get cold, but it also should be very, it should for me it shouldn't. I know for some people it should.

AI for Understanding and Optimizing Wakeful States [1:10:46]

• While sleep states are well-defined and optimized by technology, wakeful states are less understood and lack clear terminology for AI to target.
• AI could help identify and categorize different daytime cognitive and physiological states, offering personalized optimization strategies similar to sleep enhancement.
• The development of AI-powered systems that integrate data from internal and external environments could lead to a more nuanced understanding and management of our waking experiences.

we have very little understanding or even names for different awake states. we have names for the goal like I want to be able to work. Okay, what's work?

AI's Role in Analyzing Subtle Cues for Health Insights [1:54:15]

• AI can perceive subtle patterns and cues that humans often miss, acting as a tool to overcome cognitive blind spots.
• In health, AI can analyze speech patterns, body language, and environmental data to detect early signs of pathologies like neural degeneration, diabetes, or mental health shifts.
• This proactive detection can enable timely interventions, offering significant benefits, especially for conditions where early identification is critical for treatment efficacy.

It can see through our literal our cognitive blind spots and our functional blind spots. I and I think of where people pay a lot of money right now to get information to get around their blind spots are things like um when you have a pain and you don't know what it is, you go to this thing called a doctor.

The Importance of Incentivizing Healthy Behavior [1:38:00]

• Information that induces fear can deter negative behaviors but is less effective at motivating positive actions.
• Quantifiable, engaging, and fun approaches are more successful in incentivizing people to adopt healthy habits and skills.
• Examples like sleep scores or gamified fitness tracking demonstrate how metrics and aspirational goals can drive behavioral change and improve performance.

in the health space, giving people information that scares them is great for getting them to not do things, but it's very difficult to scare people into doing the right things. You need to incentivize people do the right things by making it engaging and fun and quantifiable and yeah.