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John Hopfield - Physics View of the Mind and Neurobiology
Sat, Feb 29, 2020 ·
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John Hopfield is professor at Princeton, whose life's work weaved beautifully through biology, chemistry, neuroscience, and physics. Most crucially, he saw the messy world of biology through the piercing eyes of a physicist. He is perhaps best known for his work on associate neural networks, now known as Hopfield networks that were one of the early ideas that catalyzed the development of the modern field of deep learning.
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Timestamps
- 2:35 - Difference between biological and artificial neural networks
- 8:49 - Adaptation
- 13:45 - Physics view of the mind
- 23:03 - Hopfield networks and associative memory
- 35:22 - Boltzmann machines
- 37:29 - Learning
- 39:53 - Consciousness
- 48:45 - Attractor networks and dynamical systems
- 53:14 - How do we build intelligent systems?
- 57:11 - Deep thinking as the way to arrive at breakthroughs
- 59:12 - Brain-computer interfaces
- 1:06:10 - Mortality
- 1:08:12 - Meaning of life
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