#110 - Meet the Neuroscientist Who Discovered That Waves Produce Memory, Spacetime and Consciousness

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Dr. György Buzsáki is one of the world’s most influential
neuroscientists and the author of The Brain from Inside Out — a
radical rethinking of how the brain generates perception, memory,
and consciousness.


We’ve been asking the wrong questions about the mind. Memory
isn’t storage. Perception isn’t passive. Time and space aren’t
sensed — they’re constructed. And the rhythms of our own bodies
may be the hidden scaffolding behind everything we think, feel,
and remember.


Expect to learn why the brain doesn’t record the world but
predicts it, how neural rhythms act like syntax to structure our
thoughts, why time is not an input but a product of the brain’s
internal cycles, how space and memory emerge from the same
temporal code, why consciousness might just be a performance
built from nested oscillations, what happens when brain–body
rhythms fall out of sync, how we can think about memory as
musical replay not archival storage, how rhythm breakdown may
underlie mental disorders, and much more


…


Timestamps:


00:00 Intro


01:22 The Evolution of Neuroscience Techniques


05:13 Understanding Feedforward Inhibition


08:13 The Paradigm Shift in Brain Function


12:07 The Role of Rhythms in Prediction


14:28 Overcoming Technological Barriers in Research


16:45 Mapping the Hippocampus and Microcircuitry


25:30 The Complexity of Brain Connectivity


26:24 The Future of Connectomics


34:36 The Inside Out Brain: A New Framework


42:28 The Brain's Survival Mechanism


45:00 Local and Global Brain Interactions


48:47 Evolution of Brain Complexity


52:56 Inside-Out Thinking in Neuroscience


59:32 The Importance of Body Rhythms


01:17:42 The Interconnectedness of Mind and Body


01:26:43 Understanding Brain Dynamics in Psychiatric Disorders


01:29:04 The Future of Diagnosing Mental Health Conditions


01:32:56 The Role of Technology in Neuroscience


01:35:47 Exploring the Nature of Memory


02:06:25 Consciousness and Its Complexities


...





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