Professor Earl Miller discusses, Mind-Body Solution podcast.
Earl K. Miller is the Picower Professor of Neuroscience at the Massachusetts Institute of Technology. He has faculty positions in The Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences. He holds degrees from Kent State University (B.A.) and Princeton University (M.A., Ph.D.) as well as an honorary Doctor of Science from Kent State University.
For decades, neuroscience treated the brain like a digital machine — storing information in synaptic connections and sustaining activity like a switch flipped on. But what if that model is incomplete?
In this conversation, I sit down with Earl Miller, MIT professor and head of the Miller Lab, to explore a growing shift in cognitive neuroscience: the brain may compute using dynamic electrical waves.
We discuss how oscillations coordinate millions of neurons, how waves interact with spikes in a two-way system, why large-scale brain organization may depend on rhythmic patterns, and what this means for artificial intelligence.
If cognition isn’t just stored in connections — but emerges from real-time analog wave computation — how should we rethink intelligence?
TIMESTAMPS:
0:00 — Introduction: Mind-Brain Relationship Explained.
0:27 — Brain as an Analog System: Dynamic Wave Computation.
0:59 — 20th Century Brain Models: Connectionist Cognition.
2:04 — AI Limitations from Old Brain Models.
2:35 — Storing Information in Synaptic Connections.
3:29 — Self-Organizing Brain & Internal Control Systems.
4:29 — Brain Waves for Large-Scale Organization.
5:17 — Spikes and Waves: Two-Way Brain Interaction.
6:30 — Electrical Oscillations: Excitation & Inhibition Patterns.
9:30 — Advantages of Wave-Based Processing over Logic Gates.
11:00 — Coordinating Millions of Neurons for Attention.
12:30 — Goals, Plans & Intentions Driving Brain Activity.
15:30 — Real-Time Control: Synapses vs Waves Debate.
18:30 — Generating New Brain Wave Patterns in Real Time.
23:00 — Implications for AI & Cognitive Science.
27:30 — Evolving Views on Cortical Computation & Oscillations.
32:00 — High & Low Energy Phases in Brain Waves Explained.
38:00 — Waves as a Mechanism for Self-Organization.
44:00 — Real Analog Computation Through Wave Interactions.
1:15:26 — Closing Thoughts.
EPISODE LINKS:
Earl’s Website: https://ekmillerlab.mit.edu/earl-miller/
Earl’s Publications: https://scholar.google.com/citations?…
https://loc.closertotruth.com/theory/.…
- Cognition Emerges From Neural Dynamics Lecture:
• Earl K. Miller — Society for Neuroscience…
CONNECT:
- Website: https://mindbodysolution.org
- YouTube:
/ @mindbodysolution
- Podcast: https://creators.spotify.com/pod/show…
- Twitter:
/ drtevinnaidu
- Facebook:
/ drtevinnaidu
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- Website: https://tevinnaidu.com
============================= Disclaimer: The information provided on this channel is for educational purposes only. The content is shared in the spirit of open discourse and does not constitute, nor does it substitute, professional or medical advice. We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of listening/watching any of our contents. You acknowledge that you use the information provided at your own risk. Listeners/viewers are advised to conduct their own research and consult with their own experts in the respective fields. #EarlMiller #Consciousness #Neuroscience #AI
Earl’s X: https://twitter.com/MillerLabMIT
Earl’s LinkedIn: / earlkmiller.
Cognition is an emergent property: https://doi.org/10.1016/j.cobeha.2024…
Analog Theory:
https://loc.closertotruth.com/theory/.…
Cognition Emerges From Neural Dynamics Lecture: • Earl K. Miller — Society for Neuroscience…
CONNECT:
Website: https://mindbodysolution.org.
YouTube: / @mindbodysolution.
Podcast: https://creators.spotify.com/pod/show…
Twitter: / drtevinnaidu.
Facebook: / drtevinnaidu.
Instagram: / drtevinnaidu.
LinkedIn: / drtevinnaidu.
Website: https://tevinnaidu.com.