Neuroscientist
In Brain Plasticity, an eight-hour course, Dr. David Eagleman explores the brain’s remarkable ability to adapt and reshape itself throughout life. The course covers how plasticity enables the brain to fine-tune its neural circuits, from constructing dynamic maps of the body and senses to learning movement control. It also investigates how the brain processes non-traditional sensory inputs, such as “seeing” through the skin or “hearing” vibrations. Dr. Eagleman discusses the role of relevance in developing expertise, the evolution of plasticity across the lifespan, and strategies for maintaining brain health. The course concludes with insights into learning, memory, and the brain’s ability to continually adapt to a changing world.
In our introductory lecture, Dr. David Eagleman introduces us to the fascinating concept of brain plasticity, delving into how the human brain’s extraordinary adaptability distinguishes us from other species and empowers us to absorb, reinterpret, and reshape the world around us. The discussion examines how the brain fine-tunes its neural circuitry to meet specific tasks and challenges, enhancing both speed and energy efficiency. Additionally, the lecture underscores the crucial role of appropriate environmental stimuli during critical developmental periods, highlighting the profound consequences of insufficient stimulation.
In lecture two, we explore how the brain, despite being locked in silence and darkness, constructs a map of the body and senses. We explore the groundbreaking work of neurosurgeon Wilder Penfield, who discovered that stimulating different brain regions evoked sensations in corresponding body parts, revealing a “homunculus” or map of the body in the brain. The lecture emphasizes that this map is not genetically predetermined but dynamically adapts based on sensory input, as demonstrated by the reorganization of brain maps in amputees and blind individuals.
In lecture three, we study the brain’s remarkable ability to interpret information from any sensory input channel, opening up possibilities for sensory substitution, enhancement, and addition. We examine how the brain can learn to “see” through the skin or “hear” through vibrations, highlighting the potential to expand human perception beyond our inherited biological senses. Dr. Eagleman concludes by envisioning a future where we can choose our own sensory experiences, empowered by the brain’s adaptability to incorporate new types of information.
In lecture four, we uncover how the brain learns to control the body it finds itself in, whether typical or atypical. Through motor babbling, brains figure out how to operate bodies, enabling everything from skateboarding dogs to mind-controlled robotic limbs. The lecture concludes by examining how this adaptability could expand human capabilities through technology. It also delves into the profound philosophical question of how the body we command influences the very nature of our conscious experience.
In lecture five, we delve into the concept of relevance as a key driver of brain plasticity and expertise development. Dr. Eagleman illustrates how dedicated practice, coupled with the right motivation and rewards, can lead to remarkable skill acquisition and corresponding changes in brain circuitry. He also highlights that relevance and alignment with one’s goals—not just repetition—are what truly reshape the brain. He concludes this lecture by exploring the implications for education, advocating for a neuroscience-compatible classroom that harnesses the vast resources of the internet to foster curiosity-driven, individualized learning.
In lecture six, Dr. Eagleman explores the fascinating phenomenon of motion aftereffects and how they reveal the brain’s constant recalibration to predict and adapt to the world. We delve into the concept of “infotropism,” proposing that the brain continuously adjusts its circuitry to maximize information extraction, discounting the expected and remaining sensitive to the unexpected. The lecture emphasizes the brain’s role as a prediction machine, always striving to build an accurate internal model of the world to conserve energy and detect change.
In lecture seven, we address how brain plasticity evolves across the lifespan, from its peak in early childhood to its gradual decline with age. We explore how this shift reflects the brain’s transition from flexible learning to an efficient internal model of the world. The lecture highlights the uneven distribution of plasticity across brain regions and reveals how the adult brain retains its ability to adapt, particularly in response to novel challenges. Finally, we consider strategies for maintaining brain health and flexibility, emphasizing the importance of cognitive stimulation and a rich social environment.
In our eighth and final lecture, we discuss the complex mechanisms of learning and memory in the brain, exploring how experiences are encoded, stored, and retrieved over time. We examine the stability-plasticity dilemma faced by neural networks and the brain’s multi-layered solution involving pace layers that interact at different speeds. Dr. Eagleman highlights the brain’s ability to store a wide variety of memory types and the importance of relevance in determining what gets encoded, emphasizing the fundamental differences between biological memory and computer storage.
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