The predictive brain & the quest to understand consciousness | Anil Seth
Neuroscientist Anil Seth explains how much we can learn about consciousness by studying the brain, including:
• What groundbreaking studies with split-brain patients and blindsight have already taught us about the nature of consciousness.
• Anil’s theory that our perception is a “controlled hallucination” generated by our predictive brains.
• Whether looking for the parts of the brain that correlate with consciousness is the right way to learn about what consciousness is.
• Whether our theories of human consciousness can be applied to nonhuman animals.
• Anil’s thoughts on whether machines could ever be conscious.
• Disagreements and open questions in the field of consciousness studies, and what areas Anil is most excited to explore next.
Chapters:
• Cold open (00:00:00)
• Luisa’s intro (00:01:02)
• The interview begins (00:02:42)
• How expectations and perception affect consciousness (00:03:05)
• How the brain makes sense of the body it’s within (00:21:33)
• Psychedelics and predictive processing (00:32:06)
• Blindsight and visual consciousness (00:36:45)
• Split-brain patients (00:54:56)
• Overflow experiments (01:05:28)
• How much can we learn about consciousness from empirical research? (01:14:23)
• Which parts of the brain are responsible for conscious experiences? (01:27:37)
• Current state and disagreements in the study of consciousness (01:38:36)
• Digital consciousness (01:55:55)
• Consciousness in nonhuman animals (02:18:11)
• What’s next for Anil (02:30:18)
----
The 80,000 Hours Podcast features unusually in-depth conversations about the world’s most pressing problems and what you can do to solve them.
Watch video The predictive brain & the quest to understand consciousness | Anil Seth online without registration, duration hours minute second in high quality. This video was added by user 80,000 Hours 01 November 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 1,373 once and liked it 36 people.